Data Bytes

Intro [00:00:00]

Priscila discusses the importance of an accessible data infrastructure and data literacy.

[00:00:41] Sadie:

Introduction of Priscila Papazisis, her achievements and roles.

[00:01:06] Sadie:

Discussion on AI and data literacy strategies for organizations.

[00:01:27] Priscila:

Priscila responds about strategies for fostering data literacy in organizations.

[00:02:03] Priscila:

Importance of executive support in building a data-driven culture.

[00:02:36] Priscila:

Training programs for data literacy across various companies.

[00:03:05] Priscila:

Reiteration of the need for accessible data infrastructure.

[00:03:42] Priscila:

Emphasizes employee engagement with data for decision-making.

[00:04:12] Priscila:

Continuous improvement and promoting an environment for feedback.

[00:04:36] Sadie:

Challenges in providing and encouraging training in organizations.

[00:05:07] Priscila:

Finding time and interest for employee training in a busy schedule.

[00:06:25] Priscila:

Importance of understanding statistical concepts, data visualization, and AI in business.

[00:07:39] Priscila:

Critical thinking and application of AI and machine learning in business.

[00:08:20] Priscila:

Understanding industry trends and market dynamics.

[00:08:50] Sadie:

Priscila shares examples of business value from data literacy programs.

[00:09:10] Priscila:

Story about enhancing logistics in a health insurance company.

[00:10:23] Priscila:

The impact of data literacy programs she initiated.

[00:11:16] Priscila:

Operational improvements from data-driven decisions.

[00:12:42] Priscila:

Importance of practical results from data products.

[00:13:19] Priscila:

Engaging in continuous learning and leveraging data literacy.

[00:14:10] Sadie:

Discussing common pitfalls in implementing data and AI programs.

[00:14:28] Priscila:

Key challenges and advice for data and AI program implementation.

[00:16:45] Sadie:

Advice for individuals improving their data and AI literacy.

[00:17:09] Priscila:

Recommended resources and personal approaches to data literacy.

[00:18:37] Priscila:

Emphasis on data storytelling and problem-solving with data.

[00:20:42] Sadie:

The role of storytelling in data and AI.

[00:21:11] Sadie:

Priscila's journey into the data field.

[00:22:10] Priscila:

Career path and evolution in data roles.

[00:23:16] Priscila:

Contributions to the data community and networking.

[00:25:36] Sadie:

The value of community in data and AI.

[00:26:27] Sadie:

Final advice for women in data and AI careers.

[00:00:00] - Ania discusses her approach to energy use and following curiosity without questioning its practicality.

[00:00:34] - Introduction of Ania Cwojdzinska as a vibrant member of the Women in Data community, mentioning her background and achievements.

[00:01:24] - Sadie asks Ania about the intersection of data science and psychology and how Ania incorporates both in her work.

[00:03:02] - Ania shares her journey into data science during her PhD, highlighting the benefits of interdisciplinary approaches.

[00:04:52] - Discussion on the rigors of academic research and its relevance to data careers.

[00:05:47] - Ania talks about her surprise at the continued use of Excel in industry and the transition from academia to industry.

[00:08:05] - Sadie inquires if Ania has started using Excel in her industry work.

[00:08:27] - Exploring Ania's growth mindset and whether it was innate or developed over time.

[00:10:46] - Ania discusses leading the growth group for Women in Data and the various activities and workshops they conduct.

[00:13:35] - The unique aspects of the Women in Data growth group and its contribution to the community.

[00:14:42] - The inclusivity and openness of the Women in Data community.

[00:15:33] - Ania reflects on her advice for women in data careers, emphasizing self-awareness and the blend of personal interests with professional skills.

[00:20:16] - Sadie thanks Ania for her mentorship and contributions to the community.

[00:20:45] - Ania shares her most proud accomplishments: fostering lifelong friendships and achieving self-contentment.

[00:24:31] - Sadie and Ania discuss redefining success and the importance of being comfortable and happy with oneself.

Discussion on AI in Business

• [00:01:00] Sadie introduces the main conversation topics.
• [00:01:20] Cal shares his anticipation for future meetups.
• [00:01:26] Discussion on the rapid developments in AI.
• [00:02:03] Key indicators companies overlook when identifying AI opportunities.

• [00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement.
• [00:03:41] Approaches to mapping out the value of AI projects.

• [00:04:53] Sadie questions the average time to see benefits from AI implementation.
• [00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions.

• [00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers.
• [00:09:23] The role of AI literacy in preventing unintended consequences.

• [00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations.
• [00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics.

• [00:20:33] Cal shares his journey to founding Panda Data and its acquisition.
• [00:24:52] Discussion on navigating the challenges in highly regulated industries.
• [00:27:41] Cal's personal motivations and overcoming obstacles.
• [00:32:09] What's next for Cal at Further and the vision for AI auditing practice.

• [00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science.

Intro & Discussion on AI Career and Passion
00:00:00 - Introduction and advice on pursuing AI as a career.
00:00:17 - The importance of passion and intellectual rigor in AI.

Erica's Background & Journey into AI
00:00:32 - Introduction to Erica Luna Lee: her background in tech and founding Women of AI.
00:01:16 - Erica's entry into the AI space and her journey from research to tech leadership.

Moving to Silicon Valley & Building a Community
00:02:10 - Erica's move to Silicon Valley and the importance of community in career development.
00:03:09 - The unique ecosystem of Silicon Valley for technology and innovation.

Career Advancement & Challenges
00:04:12 - Insights on career advancement and the significance of choosing the right manager.
00:09:06 - Discussing the challenges for women in leadership roles and how to navigate them.

The Importance of Support Systems
00:12:47 - The critical role of support systems for female executives and founders.
00:16:51 - Erica shares advice for female founders and the importance of having a supportive network.

Personal Growth & Finding Balance
00:22:49 - Erica talks about personal growth, balancing work with personal life, and the importance of hobbies and social connections.

Outlook on AI and Future Technologies
00:34:14 - Erica's take on the current state of AI and speculation on future waves of technology innovation.

Closing Remarks
00:39:52 - Final thoughts and encouraging words from Erica.
00:40:03 - Outro and information on joining Women in Data.

Dive into the world of Machine Learning Operations (MLOps) with the remarkably insightful Maria Vechtomova. She is an MLOps Tech Lead at Ahold Delhaize and Co-Founder of Marvelous MLOps. TimeStamps:

00:00:00 - Introduction to the episode with Maria Vechtomova. 00:00:32 - Sadie introduces Maria Vechtomova and her career. 00:01:06 - Maria expresses her appreciation for the DataBytes podcast. 00:02:06 - Conversation about past experiences with piano lessons. 00:03:12 - Maria's transition from economics to data and MLOps. 00:04:31 - The impact of having inspiring colleagues. 00:06:07 - Discussion on the value of freedom and management styles in Maria's career. 00:07:14 - Maria talks about the founding of Marvelous MLOps. 00:09:09 - The impact of publishing articles and LinkedIn engagement. 00:10:39 - How the field of MLOps has evolved over the years. 00:14:10 - The state of MLOps practices in the industry. 00:16:27 - Advice for data scientists on best practices for MLOps collaboration. 00:18:19 - Ideal handoff models between data engineering, data science, and MLOps teams. 00:20:58 - Describing a typical week for an MLOps engineer. 00:24:21 - How to balance leadership and technical knowledge. 00:26:26 - Discussing the representation of women in MLOps and tech. 00:29:51 - Conclusion and thanks to Maria and listeners. 00:30:05 - Outro with an advertisement for Women in Data community memberships.

Join Women in Data as a Member: https://womenindata.mn.co/plans/389742?bundle_token=786e315f336334cfdfd416404db1fbf5&utm_source=manual

Scott Taylor, a principal consultant at MetaMeta Consulting, brings a wealth of experience and a unique perspective on the strategic importance of proper data management. Known for making data management concepts accessible and engaging, Scott has transformed the way businesses view their data, emphasizing the "strategic WHY" over the "technical HOW." In this episode, we'll explore how storytelling can bridge the gap between data and business strategy, the innovative use of data puppets to create fun and memorable content, and Scott's own journey in the data world. With accolades such as DataIQ 100 and CDO Magazine Leading Data Consultant, Scott's approach to data storytelling is not to be missed. Whether you're a data professional looking to inspire change within your organization or just curious about the power of data stories, this episode is packed with insights, tips, and tales from the forefront of data management.

Amy Hodler is the Founder, Graph Evangelist, GraphGeeks

Tune in for a rhythm-packed episode of Data Bytes Podcast, where we hit the high notes with Max Hilsdorf, a maestro in data science and a virtuoso in musicology, currently orchestrating success as a Data Science Consultant at Statworx. In this upbeat chat, Max conducts us through the electrifying world of AI in music, from remixing the creation process to auto-tuning the future of melodies. We'll riff on everything from AI's headline gigs in music genres to its backstage impact on composers and musicians. Max shares his own chart-topping journey of harmonizing data with do-re-mis, including encore-worthy projects and how he composes his work's score, balancing algorithms and arpeggios. As we crescendo into the future, Max forecasts the next big hits in AI music, ethical encores, and how AI might scout the next superstar from the garage band to the grand stage. So, plug in, turn up the volume, and let's jam to the future of music and AI with Max Hilsdorf—it's going to be a smash hit!

We dive into the intricate world of data engineering with none other than Joe Reis, a celebrated figure in the tech education and data engineering arena. Joe, currently wearing multiple hats as an Instructor at DeepLearning.AI, CEO of Ternary Data, author with O'Reilly Media, and an adjunct professor at the University of Utah, brings a wealth of knowledge and experience to our table.

In the latest episode of the Data Bytes Podcast, we had the pleasure of hosting Megan Lieu, a prominent figure in the data science community. Currently working at Deepnote and as an instructor at LinkedIn Learning, Megan brings a wealth of experience from her diverse roles in data science and analytics.

Andy Cotgreave, Senior Data Evangelist at Tableau, sits down with us and talks about the future of dashboarding. We also chat about The Evolution of Tableau Dashboards and Data Communication and Storytelling in Tableau Dashboards. He has a wealth of experience and this episode is packed full of insights.

Join us on the Data Bytes Podcast as we explore the dynamic world of tech ecosystems, innovation, and inclusive AI communities with Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem at NVIDIA.

Discover the ingredients for successful tech ecosystems, the impact of government policies, and real-world examples of thriving tech hubs. Learn about fostering diversity and ethics in AI, and gain valuable advice from Louis Stewart's career journey.

In this episode of the Data Bytes Podcast, we're joined by Yesenia Espinal, Associate Vice President for Data Analytics at Howard University. With her extensive background in data management and institutional research, Yesenia offers a unique perspective on the role of data analytics in higher education.

We had the privilege of chatting with Stefanie Khan, the Director of Business Intelligence & Data Analytics at UPS, and a visiting professor at DeVry University. Here’s a quick rundown of what we covered:

A Journey Through Data Worlds.

Analytics Modernization at UPS.

Championing Women in Tech.

In this insightful episode of Data Bytes, we sit down with Tracy Ring, a luminary in the intersection of AI and Life Sciences. Currently serving as the CDO and Global Generative AI lead in Life Sciences at Accenture, Tracy brings a wealth of experience from her previous roles at Deloitte, Capgemini, Walgreen's, Abbott Labs, and Kraft Foods. Her educational background from Harvard Business School and Miami University has laid a strong foundation for her exceptional career.

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In our latest episode of Data Bytes, we were honored to host Shinji Kim, a multifaceted leader in the technology industry and the Founder & CEO of Select Star. With a wealth of experience that spans multiple roles, from startup advising to product management, and academic backgrounds from renowned institutions like the University of Waterloo and Stanford University, Shinji is a wellspring of knowledge on data discovery and management.

Are you curious about what distinguishes a Senior Data Analyst from a junior one? Or perhaps you're an aspiring SQL instructor looking for tips to deliver an effective learning experience? This episode is the treasure trove you've been waiting for!

We are thrilled to have Jess Ramos, a Senior Data Analyst at CrunchBase and a LinkedIn Learning Instructor, share her expertise and insights. With years of experience in the fast-paced corporate world, Jess reveals the nuances of a Senior Data Analyst's role and how they become linchpins in decision-making processes within their organizations. Learn how you can equip yourself with advanced skills and methodologies to maintain your relevance in this ever-evolving field.

But that's not all! Jess also delves into the art of teaching SQL effectively. From breaking down complex topics for beginners to staying current in a rapidly changing tech landscape, Jess provides a wealth of tips for educators aiming to foster a dynamic and comprehensive learning environment.

Don't miss this enlightening conversation that bridges the gap between data analysis and effective education in SQL. Tune in, get inspired, and level up your data game! 📊💡

About Jess:

Jess is a Senior Data Analyst at Crunchbase and an instructor with LinkedIn Learning. She has spent most of her career in the finance and tech industry working on SaaS products. Jess creates content on data, SQL, and tech careers on LinkedIn, Instagram, and TikTok and has a passion for sharing what she loves with her 110K+ followers. She wants to make data analytics accessible for all while also offering realistic expectations for what it's like in the field.

Join us in this insightful episode of Data Bytes as we delve into the dynamic world of data, AI, and storytelling with our guest, Camila Manera. With a diverse background in design, user experience, data science, and AI, Camila has made strategic decisions for major organizations like The Walt Disney Company and is now the Co-Founder and Data Director at Libro de Pases. Discover how she's used data and AI to shape strategies, enhance storytelling, and find out what's on the horizon for the future of user experience. Don't miss this inspiring conversation with a trailblazer who's breaking barriers in the tech industry. Subscribe now and stay tuned for more engaging discussions on Women in Data's Data Bytes podcast! Connect with Camila on LinkedIn: https://www.linkedin.com/in/camila-manera-910510a2/ to stay updated on her incredible journey and insights.

Join us in this insightful conversation with Lisa Cohen, an accomplished Data Science executive with a remarkable career spanning Google, Twitter, and Microsoft. We dive into the essential aspects of managing data science projects and the key objectives for onboarding to a data science team. Discover Lisa's journey into data science and her team's challenges at Google. Don't miss this opportunity to learn from a true industry expert!

Connect with Lisa Cohen on LinkedIn: https://www.linkedin.com/in/cohenlisa/

Join us for "AI for Business Intelligence and Analytics" with our special guest, Mico Yuk! Mico, a trailblazer in the field, is the Chief Data Evangelist at Count.co and Co-founder of BI Brainz. In this podcast, we dive into three key areas:

AI and BI Fusion: Explore how AI is reshaping Business Intelligence and Analytics and whether it's time to update the BIDS framework.

DE&I Action Plan: Understand the challenges and solutions for achieving diversity and inclusion in organizations, with practical steps and metrics for progress.

Mico's Journey: Hear the fascinating story of how Mico founded the BI/Analytics Data Storytelling Framework (BIDS) and gain insights into her career and advice for women in data.

This podcast promises engaging discussions, expert insights, and a dose of inspiration from Mico Yuk.

Stay connected with Mico on LinkedIn: https://www.linkedin.com/in/micoyuk/

Join us for an insightful episode of Data Bytes as we explore "The Future of Data Science" with Dr. Jodie Burchell, Developer Advocate in Data Science at JetBrains and former Lead Data Scientist at Verve Group Europe. With a diverse background in clinical psychology, biostatistics, and extensive data science experience, Dr. Burchell provides valuable insights. We delve into two key topics: Data Science Evolution: Discover how the role of data science has transformed over the last decade and what lies ahead with AI advancements. Bias-Free Hiring: Learn how to address bias in hiring practices from Dr. Burchell's perspective as a hiring manager and create a more inclusive recruitment process. Additionally, Dr. Burchell shares her unconventional career journey and offers advice for aspiring data scientists. In a rapid-fire round, we get to know her personal interests and goals. Tune in for a candid, unscripted conversation. Connect with Dr. Burchell on LinkedIn and Twitter, and stay updated on Data Bytes for more captivating discussions. Stay curious and creative! Connect with Dr. Jodie Burchell: Twitter: https://twitter.com/t_redactyl Mastodon: @t_redactyl@fosstodon.org Blog: https://t-redactyl.io/ GitHub: https://github.com/t-redactyl JetBrains: https://www.jetbrains.com/

Today, we delve deep into the art and science of constructing formidable teams in the realm of analytics and AI with a trailblazer in the industry, Sayandeb Banerjee. As the CEO and Co-founder of The Math Company and Co.dx, and with a rich tapestry of experiences across giants like MU Sigma, GE-Money Americas, GECIS, and ICICI Bank, Sayandeb offers a unique vantage point. Highlights: Building High-Caliber Teams: Ever wondered what goes into creating elite teams in the analytics industry? Sayandeb breaks down the ingredients. From attracting top talent to innovative training paradigms, gain insights into the practices that make TheMathCompany stand out. Innovation in the Industry: As technology gallops ahead, how will analytics keep pace? Sayandeb shares his forward-thinking perspective on the evolution we might witness in the next decade. Personal Insights: From the driving forces behind his unwavering passion to valuable advice for budding analytics enthusiasts, Sayandeb offers a candid look into his journey. Plus, any regrets or do-overs? He shares those too.

Overview

Elona Tuomi and Maithili Dandige  are two senior leaders in technology, certified life coaches, and life coaches for women in data. If you are looking to overcome perfectionism, imposter syndrome, and get unstuck in your career, then this episode is for you. We cover everything from what is life coaching career transitioning, and how  perfectionism lead to imposter syndrome.

Learn more about our mission and become a member here: https://www.womenindata.org/

Overview

Today’s guest is Dipti Borkar, Vice President and General Manager, SaaS, Azure Databases at Microsoft. Prior to joining Microsoft, Dipti was the Founder and Creator of Ahana, a cloud managed service. Dipit has vast experience working in startups such as Counchbase, and Marklogic, and began her career working as a software engineer for IBM.

In today’s episode, Dipti shares how Databases have evolved over the past 15 years, her predictions for the future of technology and provides actionable advice for those looking to start a career in technology.

About Dipti Borkar

Dipti is a senior technology executive and entrepreneur with over 18 years of experience in cloud, open source and distributed data / database tech including relational, NoSQL, and federated systems. 

Dipti is the Vice President & General Manager at Azure Data, Microsoft where she leads product and engineering teams to make cloud databases simple and smart. She founded Ahana and created a cloud managed service for SQL on data lakes where she played many roles including Chief Product Officer and VP of Cloud / Open source engineering. Prior to Ahana, she held various different executive roles at Alluxio, Couchbase and IBM. At Couchbase she held several leadership positions over the years leading and building out the product, engineering and world-wide solutions engineering teams. At IBM, Dipti managed large world-wide dev teams for DB2 Distributed where she also started her career as a software engineer in the DB2 LUW kernel. She also served as Chairperson of the Linux Foundation / Presto Foundation community for many years. Dipti holds a MS in Computer Science from UC San Diego with a specialization in databases and holds an MBA from the Haas School of Business at UC Berkeley. She is very passionate about empowering and mentoring women in tech and open source.

Learn more about our mission and become a member here: https://www.womenindata.org/

All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20

Overview

In today’s episode Kate shares her career journey, and talks about how Web3 will unlock value for consumers and brands and provides examples of this through her team’s work at Pepsico.  Kate has been a leader in digital innovation for many years.

About Kate Brady

Kate is a seasoned marketing veteran with over 20-years media and marketing experience, 12+ of those years within PepsiCo. Kate now leads Next Gen D2C Consumer Experience and Direct Digital Marketing Capabilities, a newly formed team within PepsiCo’s global Strategy and Transformation organization driving growth for PepsiCo through the lens of consumer data and experiences.

Kate’s team is responsible for creating value and enabling consumer centricity through current and next generation platforms by delivering meaningful consumer experiences through direct consumer engagement and activation across a connected direct-to-consumer network. A key part of this work is driven through the establishment of PepsiCo’s Web3 & Metaverse Center of Enablement, leading the coordination and global strategy development across all PepsiCo sectors.

Prior to this role Kate has worked across PepsiCo’s global portfolio of brands driving media strategy, investment, innovation and partnership development.

Kate lives in Mahopac, NY with her husband Ryan and 2 daughters Ava (15) and Liv (13).

Social Handles

LinkedIn: http://www.linkedin.com/in/katebrady1007

Twitter: @katebrady1007

Learn more about our mission and become a member here: https://www.womenindata.org/

All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20

Overview

Today we are chatting with Lauren Hinds. Lauren is the President of What.If.Why, a coaching and analytics company focused on tackling persistent problems. With over 15 years’ experience leading teams and applying big data toward business operations, financial growth, and product development, she is an expert at inquiry, connecting dots, and seeing trends.

Today we chat about common mistakes analysts make in the analysis and how to avoid them through understanding the nuts and bolts of how the business operates, building relationships and getting curious to ask the right questions. 

Lauren has an amazing ability to make complex problems simple and listening to the episode will help you take your analysis to the next level. 

About Lauren Hinds

Lauren Hinds is the President of What.If.Why, a coaching and analytics company focused on tackling persistent problems. With over 15 years’ experience leading teams and applying big data toward business operations, financial growth, and product development, she is an expert at inquiry, connecting dots, and seeing trends. Lauren has an MBA, is a certified coach (ACC) and inspires learning through the WEH Foundation. As a mother, wife, boss, employee, friend, business owner, and daughter, she knows that big and small goals alike can seem daunting but that they are always within reach – you may just have to get creative.

Social Handles

LinkedIn: https://www.linkedin.com/in/alaurenhinds

Website: http://www.whatifwhy.com/

Learn more about our mission and become a member here: https://www.womenindata.org/

All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20

Overview

Today we have the pleasure of speaking with Christelle Mombo Zigah, Responsibility AI Committee Member and Sr Global Customer Success Manager for Cisco. With 15 years, she worked in multiple industries and wore multiple hats before discovering her superpower in helping global technology companies in their growth, transformation, and innovation strategies.

Christelle believes it is “an imperative to make AI accessible to everyone and to implement policies and regulations in the public and private spaces to prevent the effects of discriminating historical data and harmful algorithms at scale”.

In today’s episode Christelle shares her story of how she found her voice as an immigrant woman of color in the tech industry and how we all have a role to play in creating responsible AI. Christelle is a power house and is paving the way for more voices to be heard in AI and is truly an inspiration to all of us. 

About Christelle Mombo-Zigah

Christelle Mombo-Zigah was born and raised in France, to Congolese parents. She currently lives in Silicon Valley. She is a wife and a mother of two intelligent, funny, and opinionated magical little black girls aged 5.5 and 3. She has a master’s degree in International Economics from La Sorbonne University and recently graduated from Stanford GSB with an executive MBA, where she enjoyed the opportunity to grow her learnings and network with accomplished professionals from all over the world. Christelle Mombo-Zigah is a futurist, an ambidextrous leader, and a problem-solver, who believes in the power of technology to make the world a better place for everyone. As a professional for 15 years, she worked in multiple industries and wore multiple hats before discovering her superpower in helping global technology companies in their growth, transformation, and innovation strategies. Her people- first mindset, commitment to human-centered experiences, and sustainability redirected her focus toward responsible AI and women in technology advocacy. She believes it is “an imperative to make AI accessible to everyone and to implement policies and regulations in the public and private spaces to prevent the pernicious effects of discriminating historical data and harmful algorithms at scale”. Passionate about history and linguistics she speaks French, English, and Spanish fluently and is learning Portuguese. She sees languages as a unifier and a connector to the world. She also appreciates her Kongo heritage and history through its lineage in the Americas and the Caribbean. Christelle recently published her first children’s book and is working on three more before tackling her memoir. She wants to build a legacy for her daughters and share her story to inspire the next generations of leaders and give a voice to the voiceless.

Social Handles

LinkedIn: https://www.linkedin.com/in/christellemombozigah/ 

Website: https://christellemmbo.wixsite.com/my-site 

Learn more about our mission and become a member here: https://www.womenindata.org/

All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20

Overview

We are joined by two guests. First, Nesli Bisgin Data scientist and researcher with a PhD in Electrical and Computer Engineering and MS in Mathematics. Nesli is also the instructor for Women in Data’s Data Science Portfolio class.

Our second guest is Taye Johnson. Taye is a technologist and educator who has worked in a variety of industries including nonprofit, start-ups and global enterprises In Addition, Taye is the instructor for Women in Data’s Data Analytics Portfolio class. 

In this episode,  we chat about the keys to a great portfolio, the importance of defining your business question and how to get inspiration from everyday life for your portfolio projects. 

About Taye Johnson

Taye Johnson is a technologist with years of experience working within the global data industry. Throughout the years she has worked for startups, nonprofits, and global enterprises. She has worked in Data Governance and as an After-School Coding Instructor. Taye is also an advocate for diversifying tech and facilitates technical workshops outside of her professional role at emerging nonprofits.

About Neslihan Bisgin

Neslihan Bisgin is a Data scientist and researcher with a PhD in Electrical and Computer Engineering and MS in Mathematics. Strong knowledge in ML and NLP with applications ranging from Twitter data analysis to cancer detection and disease prediction. Proficient in Python and Matlab. Experienced Lecturer with a history of working in the higher education.

Learn more about our mission and become a member here: https://www.womenindata.org/

All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20