Surabhi Gupta is an experienced data scientist with over a decade leading econometric and machine learning modeling for travel behavior and transportation planning across major US and Canadian metropolitan regions. As a former Supervising Data Scientist at WSP, she designed predictive models that forecast human activity choices and transit use at scale, blending rigorous statistical methods with practical systems analysis. Her background includes an M.S. from UT Austin and international study at EPFL, reflecting strong academic training paired with applied research from her graduate work in transportation. Currently on a career pause as a full-time mom in San Francisco, she retains deep domain expertise and a track record of translating complex travel demand dynamics into actionable insights for planners and policymakers.
12 years of coding experience
16 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Master of Science (M.S.), Master of Science (M.S.) at The University of Texas at Austin
Contributions:1 PR, 15 pushes, 2 branches in 3 days
submissionspythonmasterssciencedata-science
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