Sujin Lee
Director Of Data Science, Bike Share & Shared Mobility
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSujin Lee is a data science leader with 12 years of experience applying analytics and policy expertise to improve urban services across New York City, now directing Data Science for Bike Share & Shared Mobility at NYC DOT. She has built multi-agency data integration, governance, and public-facing portals—most notably the NYC Workforce Data Portal and contributions to EquityNYC—that translate complex administrative data into actionable policy insights. Her background spans public health emergency response, homelessness risk modeling, and workforce outcomes analysis, giving her a rare blend of technical rigor and mission-driven programmatic impact. Trained at Columbia SIPA and with early analytics experience in the private sector, she combines econometric methods, ML, and data engineering oversight to measure and address social inequities. Colleagues describe her as a root-cause investigator who uses data as both lens and language to surface hidden disparities and drive equitable citywide decisions.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Sogang UniversityMaster of Public Administration (MPA) Urban Policy, Master of Public Administration (MPA) Urban Policy at Columbia | SIPA
Github Skills (3)
react3
atom-editor3
nextjs2
Programming languages (1)
Github contributions (4)
jayhjkwon/korean-food-delivery
Apr 2020 - May 2020
Contributions:44 PRs, 22 pushes, 12 branches in 1 month
RayKwon/gistcamp
Jun 2013 - May 2014
Contributions:38 commits in 10 months
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