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 [http://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 [https://www.sangfroidstrategy.com/]

- Photochemical Degradation of the Carmine Dye Molecule in Artist Media [https://openworks.wooster.edu/independentstudy/5733/]

- Smithsonian National Museum of African American History & Culture [https://nmaahc.si.edu/]

- Braiding Sweetgrass [https://www.goodreads.com/en/book/show/17465709]

- Futureproof [https://www.kevinroose.com/futureproof]

- The Long Game [https://dorieclark.com/longgame/]

- Range [https://davidepstein.com/the-range/]

Follow Leah

- LinkedIn [https://www.linkedin.com/in/lmrb/]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep12#transcript]

________________________________

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

Episode 12: Chem Ph.D. to Social Impact Data Science with Leah Bowers

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? [https://medium.com/data-science-at-microsoft/changing-roles-good-or-bad-for-your-data-career-6498bf7ab668]

- Networking 101: Make the Most Out of Your LinkedIn Connection Requests [https://medium.com/@rieslingfyi/networking-101-make-the-most-out-of-your-linkedin-connection-requests-f672b4f5e669]

- How to initiate changing roles internally [https://medium.com/data-science-at-microsoft/how-to-initiate-changing-roles-internally-94489d4ce143]

- Writing a resume for a data science role [https://medium.com/data-science-at-microsoft/writing-a-resume-for-a-data-science-role-345b98bdf80b]

Relevant Links

- Georgia Tech Online Master of Science in Analytics [https://pe.gatech.edu/degrees/analytics]

- MeasureCamp [https://www.measurecamp.org/]

- Marketing Analytics Summit [https://marketinganalyticssummit.com/]

- MeasureChat [https://www.measure.chat/]

Follow Riesling

- LinkedIn [https://www.linkedin.com/in/riesling/]

- Medium [https://medium.com/@rieslingfyi]

- Website [https://www.riesling.fyi/]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep11#transcript]

________________________________

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

Episode 11: How to Advance Your Data Career with Riesling Walker

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 [https://about.att.com/sites/labs]

- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research [https://arxiv.org/pdf/2105.06591.pdf] (Paper)

- NASA Open Data Portal [https://data.nasa.gov/]

- NASA Datanauts GitHub [https://github.com/NASADatanauts]

- Graphs For Science Newsletter [https://graphs4sci.substack.com/]

- Data Umbrella [https://www.dataumbrella.org/]

Follow Noemi

- LinkedIn [https://www.linkedin.com/in/noemiderzsy/]

- Twitter [https://twitter.com/NoemiDerzsy]

- GitHub [https://github.com/nderzsy]

- Website [http://www.noemiderzsy.com/]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep10#transcript]

________________________________

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

Episode 10: Modeling Social & Physical Systems with Network Science with Noemi Derzsy

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 [https://www.amazon.com/Data-Conscience-Algorithmic-Siege-Humanity/dp/1119821185] (Book)

- Algorithmic Destruction [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066845] (Paper by Tiffany Li)

- Predictive privacy: towards an applied ethics of data analytics [https://link.springer.com/article/10.1007/s10676-021-09606-x] (Paper by Rainer Mühlhoff)

- Black Women in Data Summit [https://www.blackwomenindata.com/]

- Medium - Brandeis Marshall [https://medium.com/@brandeismarshall]

- DataedX Group [https://www.dataedx.com/]

- DataCareerPaths.com [http://DataCareerPaths.com]

- AI Ethics Weekly [https://lighthouse3.com/newsletter/]

- Rebel Tech Newsletter [https://brandeis.ck.page/d3328a2879]

Follow Brandeis

- Website [https://www.brandeismarshall.com/]

- LinkedIn [https://www.linkedin.com/in/brandeis-marshall/]

- Twitter [https://twitter.com/csdoctorsister]

‍

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep9#transcript]

________________________________

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

Episode 9 - Data Conscience and Algorithmic Destruction with Dr. Brandeis Marshall

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 [https://www.cardiff.ac.uk/]

- The Netherlands Cancer Institute [https://www.nki.nl/]

- Eindhoven University [https://www.tue.nl/en/]

- Google Analytics [https://marketingplatform.google.com/about/analytics/]

- Jheronimus Academy of Data Science [https://www.jads.nl/]

- DSconnect [https://www.dsconnect.org/]

- Outlier Conference [https://outlierconf.com/]

- Data Visualization Society [https://www.datavisualizationsociety.org/]

Follow Naomi

- LinkedIn [https://www.linkedin.com/in/nsmulders/]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep8#transcript]

________________________________

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

Episode 8 - Analyzing Behavior: Process Mining the Customer Journey with Naomi Smulders

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 [https://panoply.io/]. Visit panoply.io/wia [http://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 [https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555]

Follow Jen

- LinkedIn [https://www.linkedin.com/in/jenseale/]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep7#transcript]

________________________________

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

Episode 7 - Building Analytics Teams from Scratch with Jen Seale

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 [http://probabilistically.com].

Relevant Links

- Probabilistically [http://Probabilistically]

- Avinash Kaushik [https://www.kaushik.net/avinash/]

Follow Tanya

- Website [https://zyabkina.com/]

- LinkedIn [https://www.linkedin.com/in/tanyazyabkina/]

‍

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

CLICK HERE [https://www.womeninanalytics.com/podcast-episodes/ep6#transcript]

________________________________

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

Episode 6 - The Evolution of Marketing and Digital Analytics with Tanya Zyabkina

Dr. Tanya Berger-Wolf joins us to discuss the development of computational ecology, the latest in the field of conservation AI, and the new field of study that she has established, known as Imageomics.

About Dr. Berger-Wolf

Dr. Tanya Berger-Wolf is a Professor of CS Engineering, Electrical & Computer Engineering, and Evolution, Ecology and Organismal Biology at The Ohio State University, where she is also Director of the Translational Data Analytics Institute. She was awarded a US National Science Foundation $15M grant to establish a new Harnessing Data Revolution Institute, founding a new field of study: Imageomics.

As a computational ecologist, her research is at the unique intersection of computer science, wildlife biology, and social sciences. She creates computational solutions to address questions such as how environmental factors affect the behavior of social animals (humans included).

She a director/co-founder of the conservation software non-profit Wild Me, home of the Wildbook project, which was recently chosen by UNSECO as one of the top AI 100 projects worldwide supporting the UN Sustainable Development Goals. It's been featured in media including Forbes, The NYTimes, CNN, NatGeographic, and The Economist.

Prior to coming to OSU in January 2020, Berger-Wolf was at the University of Illinois at Chicago. Berger-Wolf holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. She has received numerous awards for her research and mentoring, including University of Illinois Scholar, UIC Distinguished Researcher of the Year, US National Science Foundation CAREER, Association for Women in Science Chicago Innovator, and the UIC Mentor of the Year.

Relevant Links

- Biometric animal databases from field photographs: identification of individual zebra in the wild [https://dl.acm.org/doi/abs/10.1145/1991996.1992002] (Paper)

- StripeSpotter [https://code.google.com/archive/p/stripespotter/] (Google Code Archive)

- HotSpotter-Patterned species instance recognition [https://www.scopus.com/record/display.uri?eid=2-s2.0-84875585028&origin=inward&txGid=6ab6f7cc491de939c05b96ad328d0bba] (Paper)

- Some like it hot: Repeat migration and residency of whale sharks within an extreme natural environment [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185360] (Paper)

- International Union for the Conservation of Nature [https://www.iucn.org/]

- Science and Method [https://www.goodreads.com/en/book/show/1016008.Science_and_Method] (Book by Henri Poincaré)

- iNaturalist [https://www.inaturalist.org/]

- Gregor Mendel [https://en.wikipedia.org/wiki/Gregor_Mendel] (Wikipedia page)

- Mendel's experiments [https://www.sciencelearn.org.nz/resources/1999-mendel-s-experiments] (Article)

- eBird [https://ebird.org/]

- Imageomics [https://imageomics.osu.edu/]

‍

Follow Tanya

Webpage [https://cse.osu.edu/people/berger-wolf.1]

LinkedIn [https://www.linkedin.com/in/tanyabw/]

‍

Follow Lauren

Website [https://laurburke.github.io/]

Episode 5 - AI for Wildlife Conservation and Imageomics with Dr. Tanya Berger-Wolf

Overview

Shinji Kim, Founder and CEO of Select Star, joins us to discuss what it means to govern and manage data in modern organizations, and how companies can set themselves up for success when getting started.

This episode was recorded live at the 2022 DataConnect Conference. Special thank you to WIA Advisory Board Member Dave Cherry for assistance in preparation.

About Shinji Kim

Shinji is the Founder & CEO of Select Star, an automated data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems (concord.io), a NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led building Akamai’s new IoT data platform for real-time messaging, log processing, and edge computing. Shinji studied Software Engineering at University of Waterloo and General Management at Stanford GSB. She advises early stage startups on product strategy, customer development, and company building.

Relevant Links

- Select Star [https://www.selectstar.com/] (Shinji's company)

- Designing Data-Intensive Applications [https://dataintensive.net/] (Book by Martin Kleppmann)

- Concord Systems, Inc. [https://www.linkedin.com/company/concord-systems-inc-/] (Shinji's previous company that was acquired by Akamai)

- Apache Kafka [https://kafka.apache.org/] (Software)

- Apache Samza [https://samza.apache.org/] (Software)

- Shinji's Articles on Medium [https://medium.com/@shinjik]

Follow Select Star

- Select Star on Medium [https://medium.com/selectstar]

- Select Star on LinkedIn [https://www.linkedin.com/company/selectstarhq/]

- Select Star on Twitter [https://twitter.com/selectstarhq]

Follow Shinji

- LinkedIn [https://www.linkedin.com/in/shinjikim/]

- Twitter [https://twitter.com/shinjikim]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

Click Here [https://www.womeninanalytics.com/podcast-episodes/ep4#transcript]

________________________________

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

Episode 4 - Data Governance & Management for Modern Orgs with Shinji Kim

Overview

Meghan Hall, Data Analyst and R Educator, joins us to discuss her unique path into Hockey Analytics, how open source can be a stepping stone to new skills and career paths, and how your public or open source work can lead to opportunities. As a community-taught R programmer, Meghan also dives into how she has benefited from and contributes to community education.

About Meghan Hall

Meghan Hall has spent over seven years as a data professional in higher education. She also has experience in sports analytics, as an ongoing contributor to the public community and previously as a data scientist at Zelus Analytics. She is dedicated to R education, particularly for beginners, and frequently delivers talks, workshops, and classes.

Relevant Links

- Hockey Graphs [https://hockey-graphs.com/]

- Meghan's Articles on Hockey Graphs [https://hockey-graphs.com/author/meghanhall6/]

- Blue Jackets Hockey Analytics Conference [https://www.nhl.com/bluejackets/team/cbj-analytics-conference] (Hosted in Columbus in February 2020)

- RStudio Conference [https://www.rstudio.com/conference/]

- Cultivating Your Own R Ecosystem as a Solo Contributor [https://meghan.rbind.io/talk/rstudioconf/] (Meghan's RStudio Conf talk)

- Articulation [https://www.articulationinc.com/] (Conference Speaker Coaching)

- R for Data Science [https://r4ds.had.co.nz/] (Book)

- GitHub [https://github.com/]

Follow Meghan

- Twitter [https://twitter.com/MeghanMHall]

- Website [https://meghan.rbind.io/]

- Tableau [https://public.tableau.com/app/profile/meghanhall#!/]

- GitHub [https://github.com/meghall06/]

Follow Lauren

- LinkedIn [https://www.linkedin.com/in/lauren-e-burke]

- Twitter [https://twitter.com/lauren_e_burke]

- Website [https://laurburke.github.io/]

Transcript

Click Here [https://www.womeninanalytics.com/podcast-episodes/ep3#transcript]

________________________________

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

Episode 3 - Community-Taught Sports Analytics & R Education with Meghan Hall

The podcast where we hangout and learn with the WIA Community. Each episode, host Lauren Burke connects with women in data and analytics to talk about what they do in the space, how they got there, and more!

WIA Team

Shows