Katie Wetstone is a Senior Data Scientist based in Washington, DC with seven years of experience turning messy policy and public-health problems into actionable models. She currently leads data science work at DrivenData, building practical ML solutions for real-world social impact, and previously applied predictive modeling to improve HIV treatment retention in South African clinics. Katie pairs strong technical chops in Python and R with clear, well-documented code and a background in development economics from UC Berkeley, enabling her to bridge technical analysis and policy decisions. Her early career spans impact evaluation, STEM program design, and science communication at institutions from Harvard labs to the White House, giving her a rare mix of lab rigor, program management, and stakeholder-facing storytelling.
7 years of coding experience
4 years of employment as a software developer
Master's degree, Development Economics and International Development, Master's degree, Development Economics and International Development at University of California, Berkeley
Graduate Certificate in Applied Data Science, Graduate Certificate in Applied Data Science at UC Berkeley School of Information
Bachelor of Arts (B.A.), Chemistry, Magna Cum Laude & High Honors, Minor in English, Bachelor of Arts (B.A.), Chemistry, Magna Cum Laude & High Honors, Minor in English at Harvard University
Repository for the workshop on ethics in data science given to MSc in Applied data science students at the University of Buckingham on August 19, 2022.
Contributions:4 PRs, 30 pushes, 5 branches in 1 year 1 month
mscscienceaugustdata-scienceworkshop
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