Summary
William Geary is a data scientist and geographer with a decade of experience applying predictive modeling, spatial analysis, and data visualization to urban mobility challenges. Based in New York, he combines rigorous training in econometrics (LSE) and data science (Columbia) with a dual undergraduate foundation in economics and philosophy from Duke to craft analytically grounded, user-focused cartographic products. His work blends statistical rigor with design sensibility, producing compelling maps and dashboards that inform transportation planning and policy. Recognized by CARTO as one of 50 spatial data scientists to follow in 2019, he maintains a public portfolio showcasing reproducible projects and novel visual narratives. He is particularly adept at turning complex spatial-temporal datasets into actionable insights, bridging academic methods and practical urban applications.
10 years of coding experience
B.S. in Economics, Philosophy, B.S. in Economics, Philosophy at Duke University
Master of Science (M.S.), Data Science, Master of Science (M.S.), Data Science at Columbia University in the City of New York
London School of Economics and Political Science