Women in Analytics After Hours

Jerrie Kumalah, Analytics Engineer at SeatGeek, joins us to discuss how data strategy can benefit those in analytics roles and its part in improving stakeholder management and empowering others. We also cover the emerging space of analytics engineering.

About Jerrie

Jerrie Kumalah is a data detective with expertise in business intelligence, data science, and analytics engineering. She has a deep passion for democratizing data and empowering new data users. Jerrie believes in the power of data and finding ways to make it approachable and useful for all.

Relevant Links

- Chem Ph.D. to Social Impact Data Science with Leah Bowers

- Locally Optimistic Blog

- Data Angels Twitter

- Operational Analytics Club

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Kathleen Brunner, CEO of Acumen, joins us to discuss enabling AI adoption and digital transformation in the life sciences.

About Kathleen

Kathleen has nearly 30 years implementing forward-focused technologies and solutions as entrepreneur, executive, investor and board member. She has an extensive network of senior executives and professionals. As a CEO and CIO leader she brings her work experience for many of the top life science and Fortune 500 companies coupled with go-to-market experience, technical, strategic and execution capabilities to contribute to the success of organizations.

Over the past decade she has built solutions resulting in multi-million-dollar exits and acquisitions, for customers and her company, with well-known leaders in the life science industry. Her team works tirelessly in pursuit of their mission to increase value for Life Science companies by accelerating the transformation of manual processes to digital through innovation, collaboration and by leveraging technology to accelerate outcomes. Her company has received awards as a Top Philadelphia Life Science Company, Top Philadelphia Women-Owned Business, Best Places to Work and has ranked in INC 5000, INC 5000 Regionals Northeast. Kathleen attended St. Joseph’s University for her BS in Finance and Stanford University’s Graduate School of Business Executive Leadership Program. Kathleen is the host of Life Sphere Podcast which features conversations with prominent life science leaders.

Relevant Links

- Acumen

- Life Sphere Podcast

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Jenn Schilling, Founder of Schilling Data Studio, joins us to discuss data visualization and her best practices. We also cover how she applies a design thinking process to visualization and how we can bring empathy into our data communication.

About Jenn

Jenn Schilling loves data! Over the past 10 years, she’s worked with data as a statistician, engineer, and analyst in a number of fields. Jenn also has experience as a middle school teacher and adjunct faculty member. She founded Schilling Data Studio to share her knowledge of data visualization design, analyzing data, and R so more people can build skills in data analysis and visualization.

Relevant Links

- Tidy Tuesday

- Viz for Social Good

- COVID-19 Dashboard

- 2022 Books Visualization

- Dear Data Project

- Giorgia Lupi &OtherStories Collaboration

- Jenn's Beverage Data Collage

- Nightingale Magazine

- Sándor Petőfi Exhibit in Hungary

- Functional Aesthetics for Data Visualization

- Data Visualization Society

Schilling Data Studio

- Website

- Instagram

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- GitHub

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Leah Bowers, Lead Consultant of Data-driven Strategy at Sangfroid Strategy, joins us to discuss her transition from a PhD in Physical Chemistry to her newest role using data to drive social impact in the non-profit space. We also cover her advice for job searching and finding a role you are truly passionate about.

You can find episode notes, including transcript, relevant links, and Leah's Social Media profiles at womeninanalytics.com/podcast. Thanks for listening!

About Leah

Leah Bowers is a solution-driven data strategy analyst with 7+ years of computational research and data analysis experience. In grad school, Leah led a graduate rights group that developed a survey assessing how chemistry and physics students and postdocs felt in their depts and lab groups. The results were striking, forcing the dept to create dept-funded support groups.

Seeing the power of people-centered analytics, going through COVID, and experiencing the renewed fire of the BLM Movement, Leah graduated with her PhD in the summer of 2020 and shifted her career aspirations from academics to one creating an immediate positive impact. Leah's helped grassroots direct democracy ballot initiatives, renovate community spaces, carry out COVID vaccine drives, and expand transportation access for senior neighbors.

After a very intentional job search, Leah works at Sangfroid Strategy as a Lead Consultant in data-driven strategy for social impact, non-profit clients in Cleveland. Every day, she uses her mutual aid experience with her expertise in research, data analytics, and programming to help grow Sangfroid's own data infrastructure and that of its clients to drive further positive, sustainable impact.

Relevant Links

- Sangfroid Strategy

- Photochemical Degradation of the Carmine Dye Molecule in Artist Media

- Smithsonian National Museum of African American History & Culture

- Braiding Sweetgrass

- Futureproof

- The Long Game

- Range

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Riesling Walker, Data Science Manager at Home Depot, joins us to discuss her data career path and the insights she's learned along the way. She shares her advice on how and when to change roles, and her recommendations to set yourself up for success when planning to make a move. We also explore how analytics differs across industries.

Learn, connect, and collaborate with the global data community at the 2023 DataConnect Conference on July 20th and 21st in Columbus, OH. DataConnect brings together industry leaders, technical experts and entrepreneurs to discuss the latest in data, analytics, machine learning, and AI. Use promo code WIAAfterHours for a 15% discount off Regular or Virtual Conference passes.

About Riesling

Riesling Walker is a Data Science Manager at Home Depot within the Merchandise Execution Team. Riesling was previously a Senior Data and Applied Scientist at Microsoft and is a recent graduate of the Georgia Tech Online Masters in Analytics. In her analytics and data science career, she has worked in online retail, store-side retail, credit cards, B2B, SaaS, product, and marketing, giving her a diverse set of experiences.

Riesling's Articles on Medium

- Changing roles: Good or bad for your data career?

- Networking 101: Make the Most Out of Your LinkedIn Connection Requests

- How to initiate changing roles internally

- Writing a resume for a data science role

Relevant Links

- Georgia Tech Online Master of Science in Analytics

- MeasureCamp

- Marketing Analytics Summit

- MeasureChat

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- Medium

- Website

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Noemi Derzsy, Principal Inventive Scientist at the AT&T Chief Data Office, joins us to discuss how her background in physics and network science led her to AT&T where she applies those skills to understand and model customer behavior.

About Noemi

Noemi Derzsy is a Senior Inventive Scientist at AT&T Chief Data Office within the Data Science and AI Research organization. Her research is centered on understanding and modeling customer behavior and experience through large-scale consumer and network data using machine learning, network analysis/modeling, spatiotemporal mining, text mining, and natural language processing techniques.

Prior to joining AT&T, Noemi was a Data Science Fellow at Insight Data Science NYC and a postdoctoral research associate at Social Cognitive Networks Academic Research Center at Rensselaer Polytechnic Institute. She holds a Ph.D. in Physics, an MS in Computational Physics, and has a research background in Network Science and Computer Science.

Noemi is also involved in volunteering in the data science community. She is a NASA Datanaut and former organizer of the Data Umbrella and NYC Women in Machine Learning and Data Science meetup groups.

Relevant Links

- Insight Data Science Fellowship

- AT&T Labs

- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research (Paper)

- NASA Open Data Portal

- NASA Datanauts GitHub

- Graphs For Science Newsletter

- Data Umbrella

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- GitHub

- Website

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Dr. Brandeis Marshall, CEO at DataedX Group, joins us to discuss her new book Data Conscience: Algorithmic Siege on our Humanity. We dive deeper into the concept of algorithmic destruction, its effective implementation, and its role in the future of AI regulation.

About Brandeis

Brandeis Hill Marshall teaches, speaks, and writes about the impact of data practices on technology and society. She is an accomplished educator-scholar instructing thousands and leading federally funded projects.

Marshall is the Founder and CEO of DataedX Group, LLC. DataedX Group provides learning and development training to help educators, scholars, and practitioners humanize their data practices by recognizing and mitigating algorithmic harms.

Marshall holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester.

Relevant Links

- Data Conscience: Algorithmic Siege on our Humanity (Book)

- Algorithmic Destruction (Paper by Tiffany Li)

- Predictive privacy: towards an applied ethics of data analytics (Paper by Rainer Mühlhoff)

- Black Women in Data Summit

- Medium - Brandeis Marshall

- DataedX Group

- DataCareerPaths.com

- AI Ethics Weekly

- Rebel Tech Newsletter

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Naomi Smulders, a Data Scientist at Online Dialogue, joins us to discuss her path into data science from psychology and cognitive neuroscience, how a process mining approach can be used to analyze the customer journey of web users, and the importance of building and growing communities.

About Naomi

Naomi is a Data Scientist at Online Dialogue, a small online experimentation consultancy firm, where she designs new data science products in an interdisciplinary team of psychologists, designers, and developers. She has a background in Psychology (BSc), Cognitive Neuroscience (RMSc) and an Engineering Doctorate (EngD) in Data Science.

Naomi likes analyzing large quantities of data to gain insights into human behavior. Alongside modeling and storytelling, Naomi enjoys teaching and giving presentations. She has previously taught statistics courses and training and has presented at several national and international conferences and meetups.

Naomi is a member of the Outlier Events committee and has helped to organize the first two editions of the Data Visualization Society's Outlier conference. She also co-founded DSconnect, the alumni association for the EngD in Data Science program at the Jheronimus Academy of Data Science.

Relevant Links

- Cardiff University

- The Netherlands Cancer Institute

- Eindhoven University

- Google Analytics

- Jheronimus Academy of Data Science

- DSconnect

- Outlier Conference

- Data Visualization Society

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Jen Seale, Head of Analytics at Olive AI, joins us to discuss her strategies for building and growing high-performing analytics teams.

This episode is sponsored by Panoply. Visit panoply.io/wia for 30 days free.

About Jen

Jen Seale has built and led transformational analytics teams over the past decade in diverse organizational environments such as Olive AI, CoverMyMeds, and Nationwide Insurance. With a passion for illuminating customer value and a knack for systems thinking, Jen builds analytics teams that balance the needs of the business with the strengths and developmental needs of her team members.

Jen holds Master's degrees in both Literature and Computer Science and became obsessed with the power of data to tell and endorse stories worth hearing early in her career.

Relevant Links

- Thinking, Fast and Slow by Daniel Kahneman

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Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Tanya Zyabkina, Consultant at Probabilistically, joins us to discuss her journey in marketing and digital analytics over the years. We also cover key developments, trends, and common misconceptions in the area.

About Tanya

Tanya Zyabkina is a Principal at her analytics consulting practice, Probabilistically, where her goal is to help companies make better decisions based on data.

Tanya’s expertise comes from leading the analytics function for Fortune 500 companies in the retail and telecom industries. Her experience spans from qualitative market research in the fashion industry to building an enterprise data warehouse for an online publishing company.

She received her MBA in Marketing from the Ohio State University and her most recent formal education was a Graduate Certificate in Data Science from Harvard University Extension School.

A transplant from Siberia to the Midwest, Tanya resides in Columbus, Ohio with her family, and she finds Ohio winters a bit too warm for her taste.

She writes about analytics on her personal website zyabkina.com and on her practice website probabilistically.com.

Relevant Links

- Probabilistically

- Avinash Kaushik

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Transcript

CLICK HERE

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.