The Tech Trek

What you’ll learn: Moving from a non-traditional degree program into data and machine learning Stubbornness as a superpower (sticking to a problem is key) Improving the hiring process by understanding the limitations of using a data-driven hiring process Meet: George London is the Director of Engineering at Survata and the Co-Organizer of the San Francisco PyData Meetup Group. He has over a decade of experience as an entrepreneur, engineer, and manager working to help businesses use data to make better decisions. If you have any questions for George, please feel free to reach out via: https://www.linkedin.com/in/georgelondon/ https://twitter.com/rogueleaderr I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Looking at the number of merges to evaluate team velocity Reducing wait times during code reviews Software is getting cheaper to make and faster to deliver Meet: Ben Garvey heads up the team building the next generation of financial management software at Betterment for Advisors. Previously, he led world-class SAAS data engineering teams at RJMetrics, Magento Commerce, and Adobe. He holds a computer science degree from American University and likes charts, maybe a little too much. If you have any questions for Ben, please feel free to reach out via Twitter: https://twitter.com/bengarvey I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Using stand-downs to check-in at the end of the day Clarifying expectations and establishing a clear technical ladder Doubling down on creating communication channels within the team Meet: Myles Guanzon is a servant engineering leader with a strong passion for data-driven, lean product development, Myles comes from a non-traditional engineering background. His career started in DevOps with server management and progressed by learning web development and co-founding a design agency to develop web applications for clients, including NASA. Today as the VP of Engineering at Omada Health, Myles leads the B2C teams that are responsible for engaging its members into lifelong health. If you have any questions for Myles, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/myles-guanzon-9ab50020/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Focusing on predictability rather than velocity How the code base’s complexity can affect estimation Balancing the effect of technology change on the team David references the following book: Nicole Forsgren’s book: Accelerate Meet: David Kaplan is the head of engineering at Policygenius, the nation’s leading online insurance marketplace. David has been an engineering leader for over a decade as a VP of Engineering at Yodle (Acquired by Web.com), a Senior Manager at Bloomberg L.P., and the co-founder of Helioscene, which was a SaaS startup in the video production space. If you have any questions for David, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/davebkaplan/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Inversion of talent vs seniority Hiring is not all about the hard skills Focusing on employees motivations for the long term benefit to the company Meet: David Relyea received a Ph.D. in physics from Princeton in 2003. He has worked in the defense sector, ad tech, fintech, and cybersecurity, largely in the areas of machine learning and optimization. He is currently Director of Data Science at BlackBerry. If you have any questions for David, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/david-relyea-44120557/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Growing security awareness and maturity Starting with a security framework in mind Cybersecurity is an accessible field (moving past the myth) Meet: Ryan Weeks - As Chief Information Security Officer (CISO), Ryan is responsible for directing and managing Datto's Information Security program. Ryan spent 11 years securing enterprise applications, systems, and sensitive customer financial data at FactSet Research Systems, where he orchestrated all facets of the global information security program. Ryan holds a B.S. in Computer Information Systems from Ithaca College, an M.S. in Information Assurance from Northeastern University, and has industry security certifications including the Certified Information Systems Security Professional (CISSP) and the Certified Information Security Manager (CISM). If you have any questions for Ryan, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/ryanweeks/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Challenges in moving to CI/CD What is continuous testing? The new skills required for people in testing Meet: Liliya Frye is a Technology Leader and a Manager of Quality Assurance Engineering with over 20 years of experience in IT. She is very enthusiastic about digital product quality, security, cloud computing, and leadership. She is naturally curious and loves the continuous process of learning, as well as sharing her knowledge with others. She is a Leader of OWASP (Open Web Application Security Project) San Fernando Valley Chapter and a part of the planning committee of AppSec California security conferences. Liliya authored the following articles: 1. Leaders who deliver  vs. Leaders who destroy  2. How to Get Hired: Encoded Secrets of Hiring Managers  3. Focusing on Customers in Agile SDLC with 80/20 Rule  4. CI/CD/CT - Shift-Left and Shift-Right with Automated Continuous Testing  If you have any questions for Liliya, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/liliyafrye/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Being curious, staying curious Servant leadership style Pushing for opportunities to grow Meet: I am an experienced technologist with over 10 years of experience in the Internet industry. I've worked with companies that build and distribute web applications internally within an organization as well as externally to users around the world. I've seen the industry grow and advance greatly over the past decade and the technical knowledge I've gathered, helps me to be successful at building any web application of any scale. I am also a very experienced people manager who has coached many engineers and helped them to grow both their technical skills as well as their leadership traits to elevate their careers to the next level. If you have any questions for Andy, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/andylu821/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Evaluating where data science and machine learning can be applied Complimenting human decision making with algorithms Being aware of impacting existing processes Meet: George Bezerra is a strategic data executive with expertise in Machine Learning and Data Science. Currently VP of Data Science at Frontdoor, he was previously the head of data science at car insurance startup Metromile and spent five years at TripAdvisor where he was Senior Director of Data Science and Analytics. Like many data scientists, George has an academic background, including a Post-doctorate at MIT's Computer Science and Artificial Intelligence Laboratory and a Ph.D. in Computer Science from the University of New Mexico. If you have any questions for George, please feel free to reach out via: www.linkedin.com/in/george-bezerra I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Modernizing a legacy data infrastructure and culture Pushing people out of their comfort zone Quick wins while building the long term foundation Meet: George Bezerra is a strategic data executive with expertise in Machine Learning and Data Science. Currently VP of Data Science at Frontdoor, he was previously the head of data science at car insurance startup Metromile and spent five years at TripAdvisor where he was Senior Director of Data Science and Analytics. Like many data scientists, George has an academic background, including a Post-doctorate at MIT's Computer Science and Artificial Intelligence Laboratory and a Ph.D. in Computer Science from the University of New Mexico. If you have any questions for George, please feel free to reach out via: www.linkedin.com/in/george-bezerra I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Security professionals and mental health Accepting that there are inherent limitations in security If you burn yourself out you are doing more harm to the business than you think Simulate how you would handle a security breach Meet: Ian Amit is the CSO at Cimpress. Ian is an executive manager in the security and software industry with vast experience in multiple fields - from enterprise security, through retail, to end-user software and large back-end systems. Highly experienced in leading marketing opportunities, and translating technical innovation into marketable concepts that increase sales and exposure. He is an Information Security expert with vast experience ranging from low-level technical expertise and up to corporate security policy, regulatory compliance, and strategy. Ian keynote speaker, with vast experience in public speaking and private customer-focused seminars (Conferences featuring BlackHat, DEFCON, RSA, BSides, BlueHat, ZonCon, Source, and many more). He is also a founding member of the PTES (Penetration Testing Execution Standard), IL-CERT, and the Tel-Aviv DEFCON group (DC9723). If you have any questions for Ian, please feel free to reach out via: https://www.linkedin.com/in/iamit/ https://www.iamit.org/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Setting up an internal MSSP (managed security service provider) Establishing a baseline of security (using the NIST Cybersecurity Framework) Using the M&A process to get a headstart on security Meet: Ian Amit is the CSO at Cimpress. Ian is an executive manager in the security and software industry with vast experience in multiple fields - from enterprise security, through retail, to end-user software and large back-end systems. Highly experienced in leading marketing opportunities, and translating technical innovation into marketable concepts that increase sales and exposure. He is an Information Security expert with vast experience ranging from low-level technical expertise and up to corporate security policy, regulatory compliance, and strategy. Ian keynote speaker, with vast experience in public speaking and private customer-focused seminars (Conferences featuring BlackHat, DEFCON, RSA, BSides, BlueHat, ZonCon, Source, and many more). He is also a founding member of the PTES (Penetration Testing Execution Standard), IL-CERT, and the Tel-Aviv DEFCON group (DC9723). If you have any questions for Ian, please feel free to reach out via: https://www.linkedin.com/in/iamit/ https://www.iamit.org/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Managing the complexities of the modern data platform Balancing between hiring for the right data skill Breaking out roles by areas of specialization Meet:  Peter Fishman is the co-founder and CEO of Mozart Data (YCS20), the easiest way to spin up a modern data stack.  Previously, he was the Chief Strategy Officer at Eaze, a cannabis technology platform. He has also worked at fast-growing startups including Opendoor, Zenefits, Yammer/Microsoft, Playdom/Disney.  He also has been involved with sports analytics at the Philadelphia Eagles and has run a hot sauce company, Bacon Hot Sauce.  He holds a B.S. from Duke University and a Ph.D. in economics from UC Berkeley. If you have any questions for Fish, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/petefishman/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

What you’ll learn: Security shifting left Taking security from afterthought to active participant Keeping up with the pace of change in security Meet: Cassio Goldschmidt is regarded as an internationally recognized, award-winning security expert. With more than 20 years of experience, Mr. Goldschmidt has a remarkable record of industry accolades and honors. They include: Winner of the 2019 (ISC)² Information Security Leadership Award for all Americas Nominee for the 2019 TEN Information Security Executive Award for North America Winner of the 2020 TEN Information Security Executive Best Project Award for the West Coast region Winner of the 2011 (ISC)² Cybersecurity Community Services Star Award for all Americas Finalist of the 2011 (ISC)² Americas Information Security Leadership (ISLA) Awards 2011 in the Information Security Practitioner category Nominee for the 2012 OWASP Web Application Security Person of the Year (WASPY) Awards Other honors include being: Publicly thanked by Brazil’s Superior Electoral Court (TSE) for finding security weaknesses and providing significant recommendations to improve the security of the electronic voting systems used in the country’s presidential election A member of Forbes Technology Council and contributor of Forbes.com The founding member of OWASP Los Angeles Chapter, which was elected the best OWASP chapter in the world in 2013 A co-founder of OWASP AppSec Cali conference A speaker at many of the most respected international security conferences, including RSA, Black Hat, ISSA, CIO Event, ACSAC, (ISC)² Security Congress, FS-ISAC, Better Software, NULLCon, and Global OWASP AppSec in countries such as Brazil, China, India, Poland, Sweden, and the United States The single inventor of three U.S. patents and the co-inventor of the fourth U.S. patent Cassio holds a bachelor degree in computer science (BS in CS) from Pontificia Universidade Catolica do Rio Grande Do Sul (PUC-RS), a masters degree in software engineering (MS in SE) from Santa Clara University (SCU), and a master of business administration (MBA) from the University of Southern California (USC). If you have any questions for Cassio, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/cassiogoldschmidt/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.

Meet: Cassio Goldschmidt is regarded as an internationally recognized, award-winning security expert. With more than 20 years of experience, Mr. Goldschmidt has a remarkable record of industry accolades and honors. They include: Winner of the 2019 (ISC)² Information Security Leadership Award for all Americas Nominee for the 2019 TEN Information Security Executive Award for North America Winner of the 2020 TEN Information Security Executive Best Project Award for the West Coast region Winner of the 2011 (ISC)² Cybersecurity Community Services Star Award for all Americas Finalist of the 2011 (ISC)² Americas Information Security Leadership (ISLA) Awards 2011 in the Information Security Practitioner category Nominee for the 2012 OWASP Web Application Security Person of the Year (WASPY) Awards Other honors include being: Publicly thanked by Brazil’s Superior Electoral Court (TSE) for finding security weaknesses and providing significant recommendations to improve the security of the electronic voting systems used in the country’s presidential election A member of Forbes Technology Council and contributor of Forbes.com The founding member of OWASP Los Angeles Chapter, which was elected the best OWASP chapter in the world in 2013 A co-founder of OWASP AppSec Cali conference A speaker at many of the most respected international security conferences, including RSA, Black Hat, ISSA, CIO Event, ACSAC, (ISC)² Security Congress, FS-ISAC, Better Software, NULLCon, and Global OWASP AppSec in countries such as Brazil, China, India, Poland, Sweden, and the United States The single inventor of three U.S. patents and the co-inventor of the fourth U.S. patent Cassio holds a bachelor degree in computer science (BS in CS) from Pontificia Universidade Catolica do Rio Grande Do Sul (PUC-RS), a masters degree in software engineering (MS in SE) from Santa Clara University (SCU), and a master of business administration (MBA) from the University of Southern California (USC). What you’ll learn: Addressing the security challenges of shadow IT Hackers are looking for just one thing to get in The impact of the pandemic on the security roadmap If you have any questions for Cassio, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/cassiogoldschmidt/

Meet: Michael Remyn is a product management executive who is passionate about creating intuitive user experiences within enterprise software. As a Director of Product Management at American Express, Michael has delivered products aimed to bring user efficiency and productivity to multiple instances of Salesforce, from complex transformations such as combining instances and overhauling the user interface to a variety of smaller products meant to improve sales and client management processes. Michael has built high performing digital product teams while coaching and training others through the organization. He also has shown a continued focus on the digital experience by creating his own in-house user experience team to increase focus on user workflow and build the right solutions that solve user and stakeholder problems. Michael also has experience with data analytics, corporate strategy, and financial management before moving full time into digital product management. What you’ll learn: Salesforce is not just an IT application Managing user request change Enterprises are becoming more customer-centric With more data, we need more clarity Data quality is a journey If you have any questions for Michael, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/michael-remyn-875145/

Meet: Mike Arbitman, Senior Director, Technology Organization Data and Analytics at Medidata, a technology leader skilled at defining, building, improving, and optimizing data-focused organizations delivering innovative and leading-edge solitons What you’ll learn: Modernization of master data management Determining the system of record The changing complexity of data projects If you have any questions for Mike, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/michaelarbitman/

Meet: Mark Shasha is the Head of Security at Braze. He is a career security professional specializing in enterprise application and infrastructure security. What you’ll learn: Working in an engineering org where the CTO still checks in code Owning  security processes Looking for transferable skills in hiring DevOps and Security professionals. If you have any questions for Mark, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/markshasha/

Meet: Chris Ham is the Engineering Operations Manager and Chief of Staff to the CTO at Novantas. He is responsible for DevOps, Cloud/on-prem implementation and integration, the interface between Engineering and Infrastructure, and Big-data infrastructure. Chris’s career path has focused on blending leadership and deep technical expertise. His CV includes: -Continued service, including a deployment, as an officer in the US Navy Reserve -A background in corporate Tech Ops finance -Work as a quant in the bank treasury/risk space What you’ll learn: Leveraging his military management experience Partnering with DevOps and the strategic technology roadmap Transitioning from the military to the private sector If you have any questions for  Chris, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/christopher-l-ham/

Meet: Maria Latushkin is responsible for leading Omada Health’s technology vision and team. Prior to joining Omada Health and moving to the healthcare space, Maria has spent over 15 years in eCommerce, retail, and enterprise SaaS companies ranging from series B startups to large companies, such as Walmart. What you’ll learn: Don’t hire for culture fit, make culturally additive hires Hiring people for the right context for your environment or stage of growth Signals that you might need to add process to your org Adjusting style and process in supporting a fully distributed engineering org If you have any questions for Maria, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/maria-latushkin-799700/

Meet: Greg Miaskiewicz, CEO & Co-Founder at Capbase, a startup building legal & financial tools for startups. Previously, CEO & Co-Founder of Swarm, a bot detection startup, which exited to Integral Ad Science in 2016. Greg has over a decade of experience working at early-stage Silicon Valley startups in product, engineering, and design roles. What you’ll learn (disclaimer - this is not legal advice): Avoiding pitfalls in forming your startup’s legal entity Implications of incorrectly setting up your entity What to look for in evaluating equity as apart of a job offer If you would like to reach out to Greg about anything he discussed on the podcast, please reach out to him via: https://twitter.com/miaskiewicz https://www.instagram.com/miaskiewicz/ https://www.linkedin.com/in/miaskiewicz/ email: greg@capbase.com

Meet:  Sanji Fernando is a senior vice president at Optum, where he leads the Artificial Intelligence (AI) and Analytics Platforms team for Optum Enterprise Analytics (OEA).  He is responsible for developing platforms that support the design and development of leading-edge AI models and analytic tools for the enterprise. Previously, Sanji was a vice president at OptumLabs and led the OptumLabs Center for Applied Data Science (CADS).  The CADS team applied breakthroughs in AI and machine learning to solve complex health care challenges for UnitedHealth Group (UHG) by developing and deploying software product concepts. CADS pioneered using deep learning to streamline administrative processes in revenue cycle management and developed graph analytics tools to support provider network design, among other innovations. Sanji joined OptumLabs in 2014 from Nokia, where he created Nokia’s first data science team.  His team launched the first big data computing cluster at Nokia, using cluster derived insights on user activity and engagement to design new product concepts.  Before that, Sanji spent 9 years at Nokia in a variety of corporate roles with Nokia’s Multimedia Division, Nokia Research Center, and Nokia Ventures. Prior to Nokia, Sanji was a co-founder and VP of Engineering at Vettro, a venture-backed mobile software company.  Sanji began his career in consulting with Viant and Accenture. Sanji is a graduate of Trinity College with a bachelor’s degree in computer science.  He lives in the Boston area with his wife and their three boys.  In his free time, Sanji enjoys coaching his sons in basketball and baseball.   He also serves on the board of his local Little League. What you’ll learn: Evaluating the value of AI solutions Growth of AI in the healthcare space Establishing short and long term goals Sanji mentioned our annual survey on AI in health care and we recently shared the findings from our 3rd annual survey; we have both a press release and special report on that. If you would like to reach out to Sanji about anything he discussed on the podcast, please reach out to him via: https://www.linkedin.com/in/sanjifernando/

Meet: Marick S. Sinay, Ph.D. is Vice President Head of Data Science and Analytics for Aspiration. Dr. Sinay has been in the broader financial services industry in various quantitative financial modeling and data science roles. He has experience working at large financial institutions, Bank of America and Western Asset Management, as well as at FinTech startups in the Los Angeles area. Dr. Sinay has successfully hired and led teams of data scientists, data analysts, and data engineers to drive business intelligence and advanced predictive analytics using machine learning to solve enterprise initiatives. He has a Ph.D. in Statistics and Applied Probability, Masters in Statistics, and a Masters in Economics from the University of California Santa Barbara. What you’ll learn:  Career advice - tips and advice for analyst and data scientists to grow Building data teams - do’s and don’ts to building a successful diverse team

Meet:  Ankur Goyal is the co-founder and CEO of Impira. previously built and scaled the engineering team at MemSQL as employee #2 and VP of Engineering. Ankur received his B.S. in Computer Science at Carnegie Mellon's School of Computer Science. He also holds several patents in database technology. What you’ll learn: Extracting more value out of documents Helping companies automate their paper processes to digital Getting an AI project into production and the related ROI Talking about a new feature that allows someone to extract information from any doc through the UI If you would like to reach out to Ankur about anything he discussed on the podcast, please reach out to him via: https://twitter.com/ankrgyl?lang=en https://twitter.com/impirahq https://www.linkedin.com/in/ankrgyl/

Meet: Ash Berlin-Taylor is an active committer and member of the PMC for Apache Airflow and Director of Airflow Engineering team at astronomer.io. Before getting involved with Airflow he spent many years working in (web) infrastructure Kaxil Naik is currently the Committer, PMC Member, and Release Manager of Apache Airflow. He is also the Manager of Airflow Engineering team @ Astronomer. He did his Masters in Data Science & Analytics from Royal Holloway, University of London. What you’ll learn: Major features in the upcoming Airflow 2 release Upgrade path and compatibility What the team might be working on in future releases Learn more about the upcoming release: https://www.astronomer.io/blog/introducing-airflow-2-0 If you would like to reach out to Ash or Kaxil about anything they discussed on the podcast, please reach out to them via: https://twitter.com/kaxil https://www.linkedin.com/in/kaxil/ https://twitter.com/ashberlin

Meet:  Mike Bennett, Director of Enterprise Digital Farming at Climate Corp - Bayer Crop Science.  Responsible for Enterprise data governance and new business models. What you’ll learn: Mentoring vs coaching Leadership through influence Importance of messaging and tone If you would like to reach out to Mike about anything he discussed on the podcast, please reach out to him via: https://www.linkedin.com/in/michaelsbennett https://twitter.com/MikeSBennett

Meet: Doug Puett is the Head of Data Science at UserTesting. UserTesting has the world’s greatest data source on how user research is done. Prior to joining UserTesting, Doug worked at a startup that was acquired by LinkedIn. He has an MS degree from Columbia and a Bachelor’s from Cornell. What you’ll learn: Getting the feedback cycle started early Having a deep interest in product Matrixed embedded data science teams If you have any questions for Doug, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/dougpuett/

Meet:  Marian manages the Experiments and Optimization team at Zymergen. She spent the last ten years building data science solutions for problems in remote sensing, epidemic modeling, weather science, ag-tech, and now in synthetic biology. What you’ll learn: Taking advantage of innovation Relationships with science and product teams Advice if you want to get into data science If you would like to get in touch with Marian regarding anything discussed on this episode, please connect via: https://twitter.com/bayesiangirl

Meet: Xin Heng is currently the VP/Head of Data at Punchh. Before joining Punchh, he was the Head of Data Science at StubHub and a Data Science Manager at Uber. He has his Ph.D. in Applied Physics, Electrical Engineering from Caltech. What you’ll learn: Machine Learning Software Development - the differences between building ML software for B2B and B2C companies The Value of AI - predictivity vs interpretability Building an AI team - from the right leader and to core team members If you would like to connect with Xin - https://www.linkedin.com/in/xin-heng-8781302/

Meet:  Arkadiy is Head of Application & Infrastructure Security at Chime. He is passionate about all forms of digital harm reduction, ranging from technical, to policy & legal, to security management & leadership. What you’ll learn: Establishing a security champion and culture Developers make for great security engineers Learning lessons from launching his own product If you would like to reach out to Arkadiy about anything he discussed on the podcast, please reach out to him via Twitter: https://twitter.com/arkadiyt

Meet:  Rick Medina is a security practitioner, OSINT junkie, button pusher, and checkbox un-checker What you’ll learn: Dealing with Covid’s impact on security within the retail space Security becoming more agile If you would like to get in touch with Rick regarding anything discussed on this episode, please connect via: https://www.linkedin.com/in/ricardomedinajr/

Meet: Kyle is a CISO and VP, Security, Privacy, and Compliance. He has 18 years of establishing, growing, and leading Security and Software Engineering Teams that built security in consumer, enterprise, and SaaS software products. What you’ll learn: Bootstrapping a security program Security policy as code Starting point to move to shift security left If you have any questions for Kyle, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/kylerandolph/

Meet:  Ken is the data engineering manager at Alto Pharmacy - which offers free, same-day medication delivery to customers.   Alto's data engineering team supports the entire business with a large focus on improving the logistical efficiency of the organization. Ken's career has focused on data engineering in which he has held a variety of roles in management,  data engineering, and data architecture roles, and worked as both an employee and consultant.   Ken feels that data engineering is a specialization of software engineering - and benefits from many of the same process innovations - around testing, agile, DevOps, and dataops methodologies. What you’ll learn: What does a modern data warehousing solution look like Data engineering shift from GUI tools to software engineering Data engineering viewed as specialized software engineering If you would like to get in touch with Ken regarding anything discussed on this episode, please connect via: https://www.linkedin.com/in/kenfar/

Meet: Prior to LeafLink, Nikhil led the data science function for Gartner’s Marketing practice, gaining deep expertise in building scaled data products for large consumer brands. He has extensive experience in generating insights from e-commerce, search and transactional data leveraging experimentation, machine learning, and implementing business intelligence solutions. Nikhil has also held positions managing data science teams at and consulting F500 clients on marketing and advertising. Currently, Nikhil is responsible for continuing to evolve the data platform that powers the LeafLink marketplace. What you’ll learn: Adjusting to a less regulated industry Building out the data infrastructure Technology choices and tradeoffs

Meet: Nachi is a Director of Engineering at Electric.AI. Having started his career building software at a large investment bank, he has since transitioned into working for startups based out of NYC. He enjoys the role of being an early technology hire and is passionate about building inclusive & diverse engineering cultures, strong agile practices, and delighting customers. Topic: Empowering engineers to understand the why behind what they are working on To connect with Nachi: https://www.linkedin.com/in/n4ch1k3t/

Meet: Kunal Bhattacharya is a Security Leader, Organization builder, and mentor who helps organizations build robust Cyberdefense and detection capabilities. He does this by building Secure SDL processes and machination encapsulating Shift left strategy, SecDevOps, Cloud, and Penetration testing. Kunal's prior experience in all phases of application development, System and database administration, and Quality engineering have helped him in building lasting relationships with peers in engineering and product organizations and working towards shared security goals. Kunal has worked with Tech Titans like PayPal, Credit Karma, Symantec, etc in the Silicon Valley and has been instrumental in building multiple high-performing organizations in his career. What you’ll learn: Moving security from a black box view Thinking about security earlier in the design and development phase Mental health aspects for security professionals If you have any questions for Kunal, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/kunal-bhattacharya/

Meet: Chris Millikin is the Head of Infrastructure and Security at Nuna. Prior to Nuna, Chris spent over a decade building security engineering teams focused on detection, response, and security by design at Google as well as Alphabet’s Security “bet”, Chronicle Security.  Chris is passionate about building strong teams and developing them to their full potential and is currently hiring passionate problem solvers. What you’ll learn: How a security breach can shape your future views Applying an innovative mindset to healthcare Striving for balance in security If you would like to reach out to Chris about anything discussed on the podcast, please reach out to via: https://www.linkedin.com/in/%F0%9F%97%85-chris-millikin-80b2951/ https://www.twitter.com/chrismillikin

Meet: Ben is a Senior Director of Software Engineering at Flatiron Health, where he leads the Machine Learning Team. Prior to Flatiron, he worked at Google on NLP applications for Google Search. He has a Ph.D. in Computer Science from the University of Washington. What you’ll learn: The impact of machine learning in healthcare data Solving text classification problems Can machine learning be overused If you would like to reach out to Ben about anything discussed on the podcast, please reach out via: https://www.linkedin.com/in/ben-birnbaum-657a4730/ https://twitter.com/benbirnbaum

Meet: Joel Anderson has worked in cybersecurity and IT as an engineer, advisor, and executive with impact across public, private, and social sectors: - technology leader for over 15 years - strong focus on information security and emerging technologies - agile, proven strategic thinker/thought leader relating technology to business value - experienced leading global teams What you’ll learn: CI/CD Business Systems for Performance and Security Mainland China Deployments Navigating Compliance as a Growing Company If you would like to reach out to Joel about anything he discussed on the podcast, please reach out via: https://www.linkedin.com/in/jcpanderson/

Meet: Ella Alkalay Schreiber, Head of Pricing and Recommendations she leads a cross-functional team of product managers, data scientists, designers, and engineers in the creation of data-driven fintech products that make travel planning easier, most notably our Price Freeze product. These services leverage our immense first and third-party data to create products and values that do not exist elsewhere. In less than 12 months, Hopper has grown its attach rate of Fintech products on travel bookings from 0% to +50% and today 75% of the company's revenue is derived from them. As VP of Data Science at Hopper, I was responsible for leading the company’s data science team and building a data-driven culture within the organization. During my time at Hopper, I have tripled the data science team and spearheaded the company’s AI and machine learning efforts which drive over 20% of the company’s sales. What you’ll learn: Customer-driven and LTV New data science features that impact business revenue Move quickly and optimize later If you have any questions for Ella, please feel free to reach out to her via LinkedIn: https://www.linkedin.com/in/ella-alkalay-schreiber-94a986a8/

Meet: Wen-Ying is helping revolutionize how data insights can be turned into accelerators for strengthened growth at Plastiq. She has been a leader and champion of analytics and science in both start-up and corporate environments, including LendingClub, Mercari, GREE, Storm8, and eBay. What you’ll learn: Impact - address impact, to the business, to yourself to drive results Project Management - work backward, set deadlines and time tables to ensure successful projects Effectively communicating - Know your audience

Meet: Sen Xu is the head of engineering at Replica, where he leads the engineering effort to build a scalable data solution to provide movement insights. Prior to Replica, he was at Lyft's self-driving division, Uber, Twitter, and cofounded his own startups in the commodity trading industry. What you’ll learn: Moving forward from activities and processes that don’t scale 4 main pillars of engineering management Scaling requires more specialization If you would like to reach out to Sen about anything he discussed on the podcast, please reach out to him via: https://www.linkedin.com/in/sxualex/ Blog mentioned: https://replicahq.medium.com/reimagining-work-in-the-covid-19-era-1026a5f69845

Meet: Anjali Samani is a Director of Data Science at Salesforce. When we recorded this episode, she was leading the Predictive Modelling team at CircleUp. Anjali has extensive experience in managing and delivering commercial data science projects and has worked with senior decision-makers in startups, Financial Times Stock Exchange (FTSE) 100 businesses, and public sector organizations in the UK and US to enable them to develop their data strategy and execute data science projects. Her roles bridge technical data science and business to identify and execute innovative solutions that leverage proprietary and public data sources to deliver value and drive growth. In her former life, Anjali spent nearly a decade working as a quantitative analyst in asset management, and she has a background in computer science, economics, and mathematics. What you’ll learn: Assigning a growth score to a brand Removing bias from investing Brand growth in emerging markets If you have any questions for Anjali, please feel free to reach out to her via: https://www.linkedin.com/in/anjalisamani/ https://twitter.com/anjalisamani

Meet: Allen Ko is a data science manager working at States Title, where he's leading the company's efforts to automate document processing and parsing. He has a bachelor's degree in Chemical Engineering and loves to spend his free time hiking and wandering in the outdoors. What you’ll learn: Transitioning to the data industry via Metis Stepping up to a manager role More integration with the product team If you have any questions for Allen, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/allenwko/

Meet: Connan has a strong background in Economics with his Ph.D. and has also taught at UCLA as a professor. He was a Data Scientist at Uber for over 4 years before taking over the Data Science team at Just Auto Insurance. What you’ll learn: Hiring for your Data team - a balanced team for success Future of Data Scientists - evolving requirements and technical skills Customer Lifetime Value (LTV) - an example from Uber If you have any questions for Connan, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/connan-snider-4249311b/

Meet: Anson Whitmer - Head of Data. After completing a Ph.D., then a post-doc at Stanford, in cognitive neuroscience, Anson transitioned into data science.   He is now the director of data at Calm, a company that he help build up, as the first data hire, to its current unicorn+ status What you’ll learn: Fueling growth by discovering a new uses case for a product Employe number 10 and first data hire Prioritization - Focusing on delivering the most value for the business If you have any questions for Anson, please feel free to reach out to him via: https://www.linkedin.com/in/ansonwhitmer/ http://www.ansonwhitmer.com/

Meet: Daniel Gremmell is the Head of Data at Policygenius where he leads data engineering, data analysis, and data science. Before Policygenius, he was VP of Data Science at Plated. Daniel has experience in numerous industries including automotive, aerospace, and publishing. Daniel holds 2 master's degrees including an MS in Statistics from Rochester Institute of Technology. What you’ll learn: Finding ways to identify new requirements Importance of having accurate views of the job and company you will be joining Evaluating soft skills through virtual interviewing If you have any questions for Dan, please feel free to reach out to him via LinkedIn: www.linkedin.com/in/daniel-gremmell-6953842b

Meet: Peter has held management-level positions at Hearst and Freestar, before landing at Teachable, where he is the Head of Data. He also has his MBA from NYU. What you’ll learn: Building your data science team - case study and lessons learned 3rd party applications - pros/cons and the debate, to build in-house or buy If you have any questions for Peter, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/peter-jaffe-4b18a66/

Meet: Marnie Benney is an Independent Curator working at the juncture of contemporary art and technology. Over the last decade, she has produced 27 exhibitions in city centers, public spaces, galleries, and festivals around the world including the New York Hall of Science, University of Cambridge London, the National Aquarium in Maryland, and The Nook Gallery in Los Angeles. Benney is the Co-founder and Curator of AIArtists.org, the world’s largest community of artists using Artificial Intelligence, where she provides a platform for artists to share their practice and investigate the future implications of AI on society. What you’ll learn: The impact of AI in Art Technology mixing with art is not something new (see da Vinci) Art has always pushed the envelope If you have any questions for Marnie, please feel free to reach out to her via:: http://www.marniebenney.com/ https://www.instagram.com/marniebenney/ https://www.linkedin.com/in/marniebenney/ Some of the artwork/links discussed in the podcast: https://aiartists.org/ http://bensnell.io/ http://www.saparcontemporary.com/ http://www.saparcontemporary.com/exhibitions#/art-andai

Meet: Bryan has worked at Facebook and Indeed on the Data Science and Machine Learning teams. He’s currently the Data Science Manager at Nextdoor. What you’ll learn: Grad School - the pros and cons and what you can do to jumpstart your career Remote work - the pros and cons If you have any questions for Bryan, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/bryangilbertdavis/

Meet: Josh Scott, an experienced security leader that focuses on building high performing and innovative security programs that are business-focused. Passionate about delivering security solutions that are maintainable, deliver value to the organization, and are as transparent as possible to customers both internal and external. More than 20 years of security experience in many security and technology domains and across various industries. What you’ll learn: Getting away from evaluating 3rd party tools and start building your own tools The evolving relationship with other engineering departments Find a small pilot project to begin shifting security left If you would like to reach out to Josh about anything he discussed on the podcast, please reach out to him via LinkedIn or Twitter: https://www.linkedin.com/in/joshuascott/ https://twitter.com/joshuascott94

Meet: Sean has worked at Google and Facebook. He was a Data Science Manager at Facebook working on the VR team before moving over to Goodwater Capital as their Data Science Manager. What you’ll learn: Data Moat - insight collection, defining success, operationalizing data applications Showing your value - examples for data scientists to show their value If you have any questions for Sean, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/shunpochang/

Meet: Clare Corthell is an entrepreneur and product manager in mapping and data science. She founded companies in drone mapping, data science consulting, and consumer ridesharing. She started the Open Source Data Science Masters, used as the blueprint for university accredited degrees since 2014. She is currently the Product Manager of map data at Lyft, hails from Stanford Engineering, and grew up in the wilds of Alaska. What you’ll learn: The relationship between product and data science The risk of optimizing before doing experimentation Data science of risk vs the data science of certainty If you have any questions for Clare, please feel free to reach out to her via Twitter: https://twitter.com/clarecorthell

Meet: Silvano has 20 years of experience in IT and Information Security and his interests include DevSecOps, AppSec, and business-driven risk-based approach. Silvano is a proponent of Security integrated into the product development lifecycle to create a seamless culture of security by design. What you’ll learn: Finding the right balance as a product-focused CISO Compliance requirements as a part of selling into the enterprise space Partner with developers earlier in the development process If you have any questions for Silvano, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/silvano-silva-7694833/

Meet: Jesse Lehmier is a data engineering manager at ASAPP. He previously worked in analytics, big data, and full-stack software engineering roles. What you’ll learn: Seize opportunities to develop soft skills Transitioning from a software engineering role into data engineering Don’t spin your wheels, ask for help sooner If you have any questions for Jesse, please feel free to reach out to him via LinkedIn: https://linkedin.com/in/lehmier

Meet: Adam Oliner, Head of Machine Learning at Slack. Prior to Slack, Adam was leading the team at Splunk. He has his Masters and Ph.D. in Computer Science from Stanford and did his undergraduate degree at MIT. What you’ll learn: Commoditization of tooling - how it affects your career Structuring your Machine Learning organization - best practices and approaches Machine Learning Projects - how to get traction and how to think about your projects (failures and iterations) If you have any questions for Adam, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/adam-oliner-b9a2b35a/

Meet: Rohit Vashisht is the co-founder and CEO of whiz.ai, a conversational AI platform for Life Sciences commercial ops and field teams. Previously, Rohit was CEO and co-founder of Sverve – an influencer marketplace that was acquired by Bloglovin’ and rebranded as Activate. Rohit holds an M.B.A from the NYU Stern School of Business and an engineering degree from I.I.T, Delhi. What you’ll learn: Why can't enterprise software be as easy to use as consumer software Helping organizations answer questions simpler and faster Leveraging AI to deliver answers faster to sales and ops teams in the field If you would like to reach out to Rohit about anything he discussed on the podcast, please reach out to him via his LinkedIn or Twitter: https://www.linkedin.com/in/rohitv/ https://twitter.com/_techCEO

Meet: Jeshua Bratman is an expert in building technology products powered by artificial intelligence. He’s a founding member of Abnormal Security and head of machine learning. Prior to joining Abnormal, Jeshua played a critical role in building Twitter’s machine learning platform and detecting and preventing abusive behavior on the Twitter product. Prior to Twitter, Jeshua built the AI engine that powered TellApart’s advertising product and bringing it to over $100 million ARR and acquisition by Twitter and integration. His academic experience is in theoretical reinforcement learning and deep learning at the University of Michigan. What you’ll learn: Machine learning driving business value Email hackers against machine learning models - the chess match Advice on how to find your next machine learning position If you would like to reach out to Jesh about anything he discussed on the podcast, please reach out to him via his LinkedIn or Twitter: https://twitter.com/nojeshua linkedin.com/in/jeshuabratman/

Meet: Gagan Sandhu, Sr. Engineering Director at Square. He leads the ML, Data Engineering and Mobile engineers within the e-commerce product division at Square. What you’ll learn: Machine Learning - How to apply ML effectively to your organization: from getting buy-in for projects, managing expectations, and solving the right problems by working with the right people. Mentorship - Different strategies for different people and building trust as a leader. Keeping a pulse on your team and creating rituals for your team. If you have any questions for Gagan, please feel free to reach out to him via LinkedIn: https://www.linkedin.com/in/gaganjit

Meet: Drew Silverstein is the CEO and co-founder of Amper Music. Founded in 2014, Amper Music combines the highest levels of artistry with groundbreaking technology to empower anyone to create unique, professional music, instantly. He is part of the Forbes class of 2018 "30 Under 30" list for music. Prior to Amper Music, Drew was an award-winning composer, producer, and songwriter for film, television, and video games in Los Angeles at Sonic Fuel Studios. Drew graduated from Vanderbilt University's Blair School of Music, where he studied Music Composition and Italian and holds an MBA from Columbia Business School. What you’ll learn: How AI affects the speed of music-making and the amount of content produced Evolution of music composition and tools Economic impact of using AI to create music If you would like to reach out to Drew about anything he discussed on the podcast, please reach out to him via LinkedIn or Twitter: https://www.linkedin.com/in/drewsilverstein/ https://twitter.com/DrewSilverstein

Meet: Adam Robertson is a DevOps Leader with more than 15 years of professional experience architecting and building technical organizations from early-stage startups to established long-running companies. Starting young at the beginning of the internet revolution he had a natural proclivity to everything technical and was building computers for friends and family by his early teens. After spending most of his teenage years working in various computer shops he attended the University of Texas at Austin where he earned his BS in Computer Science. Shortly after he made the move to Silicon Valley to join the fast pace of the startup culture and has been loving it ever since. What you’ll learn: What is the tipping point that brings about change Modern DevOps practices are more about getting people involved, not replacing people Reengineering a solution requires you to understand the problems they were trying to solve If you would like to reach out to Adam about anything he discussed on the podcast, please reach out to him via LinkedIn: https://www.linkedin.com/in/adamianrobertson/

Meet: Jude Gomila is currently CEO and Founder of the startup Golden. Jude Gomila was previously President and Co-Founder of Heyzap (Union Square Ventures and Y Combinator funded in 2009) which sold to Fyber for $45m in 2016. He has also made over 200 angel investments into startups. What you’ll learn: Focusing on solving search issues Applying trust to a data source and resolving the conflicts between different sources Converting the firehouse of data and applying structure If you would like to connect with Jude: http://www.judegomila.com/ https://www.linkedin.com/in/judegomila/

Meet: Kunal Haria, Data Engineering Manager at StyleSeat. He has his Masters in Information Management from Syracuse University. What you’ll learn: Interviewing - tips for data engineers, from resumes to whiteboarding Transition to Management - lessons learned going from a lead to a manager Buy vs Build - how to evaluate to build in-house vs buying an off the shelf solution If you want to connect with Kunal, please reach out to him via Medium: https://medium.com/@dataengineering

Meet: Phillip Schafer leads the data science team at IronNet. He has a PhD in physics from Penn State, where he developed voice recognition algorithms modeled on the human brain's processing of speech. He previously worked on algorithms for pricing and dispositioning returned retail goods at retail startup Optoro. At IronNet, he has implemented machine learning models to help enterprises defend themselves against sophisticated cyber attacks. He lives in Columbia, Md., with his wife and two-year-old son. What you’ll learn: Moving from academia to the business world Data science challenges within the cybersecurity industry Transitioning to a management role and moving away from being an individual contributor If you would like to reach out to Phillip about anything he discussed on the podcast, please reach out to him via LinkedIn: https://www.linkedin.com/in/phillip-schafer/

Meet: Ryan Scolnik, the Head of Data Science at FortressIQ. He was employee #4 and currently leads the company's data science, computer vision and AI strategy. Ryan holds a PhD in Statistics from Florida State University and enjoys Kaggle competitions and long bike rides in his spare time. What you’ll learn: Being the 1st Data hire - lessons learned and finding data vs simulating data Transition to being a manager - be prepared for more meetings, less coding and lots of communicating Ego and Coding - trusting your team and letting your ego go If you want to follow up with Ryan, please connect with him on LinkedIn: https://www.linkedin.com/in/ryan-scolnik-5718193a/

Meet: Michael Weiss has spent the past 16 years in information security. While at Microsoft, he managed the Security Assurance Program for Windows 7. His latest role is as Chief Information Security Officer at Funding Circle, a fintech small business lender based in London. What you’ll learn: Look to security adjacent roles to find your next security hire natural interest in security is one of your best paths to getting hired for your first security role Security takes a back seat if you don’t have a champion You can connect with Michael via LinkedIn: https://www.linkedin.com/in/weissmichaela/

Meet: Shailvi Wakhlu, the Head of Analytics at Komodo Health. She loves to volunteer, mentor, and inspire within the data and analytics community. What you’ll learn: Resume and Interviewing - tips for analysts Women in Data - how to share your achievements Women in Data - job promotion advice The best way to connect with Shailvi is on Twitter - @ShailviW

Meet: Daniel Barber is the CEO & Co-founder of DataGrail. In the new age of privacy, DataGrail is the only purpose-built privacy management platform that ensures sustained compliance with the GDPR, CCPA, and forthcoming regulation. Prior to DataGrail, Daniel led revenue teams at DocuSign, Datanyze (acquired by ZoomInfo), ToutApp (acquired by Marketo), and Responsys (acquired by Oracle). He also advises several high-growth startups including Chorus.ai, Outreach.io, and SignOnSite. What you’ll learn: - Privacy is not optional and how to protect yourself - The manual complexities around handling privacy requests resulting from CCPA and GDPR - The benefits of automating privacy deletion requests and the risk of something slipping through the cracks If you would like to reach out to Daniel about anything he discussed on the podcast, please reach out to him via LinkedIn or Twitter: https://twitter.com/gaijindan https://www.linkedin.com/in/daniel-barber/

Meet: Chris Byington is VP of Data at Updater, where he leads the Data team in partnering with stakeholders to bring data to bear on the company’s toughest problems.  Before Updater Chris led Analytics at Heroku, a Salesforce company, where he used data to deeply understand software developers and help them be more successful.  A recovering stats nerd, Chris’s favorite statistical technique is bootstrapping.  He holds a bachelor's degree in French and Economics from Pomona College What you’ll learn: Mentoring - if you have ever wanted to become a mentor we have great tips Mentees - are you looking to find a mentor? Professionals - so you are a senior IC or a manager and you might want to find a mentor If you would like to reach out to Chris about anything he discussed on the podcast, please reach out to him via his LinkedIn - https://www.linkedin.com/in/chris-byington/

Meet: Mahesh Ramasubramanian is the co-founder and CEO of Loom.ai, a San Francisco-based company that has developed an end-to-end deep learning platform for deploying personalized 3D avatars for enterprise applications. With over 15 years of experience leading visual effects for several blockbuster movies at DreamWorks Animation, Mahesh is also a voting member of the Oscars Academy of Motion Picture Arts and Sciences. What you’ll learn: Simplifying - leveraging AI and deep learning to bring a complex Hollywood technology to individual consumers Deep learning - Loom.ai went from 7 minutes to process an image into an avatar to just seconds LoomieLive - creating your own personalized 3D avatar You can reach out to Mahesh via LinkedIn Give LoomieLIve a try!

Meet: Lisa Mirkovic, VP of Data Engineering at Capital Group. Lisa has been at the Capital Group for over 20 years and is passionate about paying it forward whenever possible, especially within the data and engineering community. What you’ll learn: Career Advice - how to be self-aware and be happy in your career Data Engineering - the key attributes it takes to be a good data engineer Leveling Up - creating an internal training academy for your organization If you would like to connect with Lisa please message her on LinkedIn.

Meet: Mike Doll is the Head of Data at Udacity, an online education platform dedicated to training the world's workforce in the careers of the future. Mike is responsible for the functions of data engineering, data science, BI, and analytics. What you’ll learn: Nontraditional path - transitioning to data science without having the hard skills Lean into the curiosity and opportunity - build connections within your organization Coming up to speed - focused on the longterm, but providing value in the short term If you want to connect with Mike, please reach out via LinkedIn

Meet: Suxi Li, the Head of Data Analytics at Investor's Business Daily (IBD). He has his Ph.D. in Economics from the University of Miami and ran analytics teams at Experian and J.D. Power before joining the team at IBD. What you’ll learn: Team Building - who to hire and when Onboarding - how does Covid-19 affect onboarding; you need more communication and touchpoints Interviewing - providing the right details If you would like to connect with Suxi please visit his LinkedIn profile.

Meet: Sivan Aldor-Noiman, the Head of Data Science and Data Engineering at Wellio What you’ll learn: Academia - do’s and don'ts when transitioning to industry Business Acumen - the importance of understanding solving business problems and how you can help improve your business knowledge Diversity in data - increasing diversity makes for better models You can reach out to Sivan via LinkedIn.

Meet: Sri Sethupathy, the VP of Data and Analytics at Age of Learning. Sri built the analytics team at Hulu. He has served as an executive advisor to multiple startups and early-stage companies as well. What you’ll learn: Building teams - set the right tone with relationships and have the right people in the right roles Interviewing - do research, be prepared, and be passionate. Your attitude matters. Hiring - heat skill map to help identify gaps and synergy between all internal teams Connect with Sri: https://www.linkedin.com/in/vastav

Meet Pedro Alves, founder and CEO of Ople.ai. Pedro founded Ople.ai in 2017. He started Ople with the goal of creating a platform that puts the knowledge and expertise of the world’s leading data scientists at the fingertips of analysts and SMEs. What you’ll learn from this episode: ROI - the top 3 things to help establish ROI for AI projects Democratize AI - allow larger numbers within an organization to use AI and make it commonplace Data Scientists - how the role of a data scientist will continue to evolve Bonus tip: Regret - listen to Pedro’s view on how he deals with the path not taken Contact Pedro: LinkedIn: https://www.linkedin.com/in/pedroalvesds/ Twitter: https://twitter.com/pedro_data_sci

Meet Raghu Dhara, the Head of Data Science at KeepTruckin. He is a Harvard grad who founded a start-up from his dorm room and was also a staff writer on the Harvard Crimson newspaper. What you’ll learn: Entrepreneurship - do’s and don'ts of building a start-up Skills - what data scientist need to do to up their skills and stay relevant Hiring - what to put on your resume and interviewing tips Bonus tip Founder’s view - there is a lot more to starting a company than just coding - market validation is a must

Meet John Morra who is the Chief Data Scientist at Zefr. He’s a member of the LA CTO Forum and organizer of the LA Machine Learning Meetup. Three key takeaways from this episode:: Team management - give your team full trust and they will give you trust  Teamwork - how to make sure you have the right resource balance on your team Hiring - what to look for when making a data scientist hire Bonus tip Founder’s view - there is a lot more to starting a company than just coding - learn about how to run a business too

I had an insightful conversation with Dennis Mortensen, CEO and founder of x.ai, about the software’s uses and the people it serves. Founded in 2014, x.ai is a productivity tool powered by AI that allows users to schedule meetings effortlessly. It should be easier and less time-consuming to schedule meetings, and x.ai is built to help achieve that. Dennis is an entrepreneur at heart and we discuss his thought process in how he launches his ideas as well as making sure he stress tests them before diving in. Key listening points: Who is Dennis Mortensen? [:05] What is x.ai? [1:40] The romanticism of startups [2:32] What was Dennis’ frame of mind when x.ai first started? [3:34] The thought process in trade-offs [6:01] The internal structure of checks and balances [8:10] Processes for Dennis’ previous startups [10:53] The startup race [14:04] The love/hate of risk [16:07] How Dennis poses the idea of x.ai to investors and potential employees [20:45] x.ai in the blink of an eye [23:25] The future of x.ai [25:26] x.ai for the personal space [29:24] Unique abilities of x.ai [33:19] The target audience for Amy and Andrew [35:50] VIPs feature [39:33] Connect with Dennis Mortensen: LinkedIn: https://www.linkedin.com/in/dennismortensen/ Twitter: https://twitter.com/DennisMortensen Connect with Elevano Website: www.elevano.com Connect with Amir Bormand LinkedIn: https://www.linkedin.com/in/amirbormand/ Twitter: https://twitter.com/amirbormand?lang=en