César Olea is a Lead Data Scientist and Vice President at J.P. Morgan’s Center for Economic Analysis with nine years of applied data science and policy experience bridging academic economics and production analytics. He holds a Ph.D. in Economics from Harvard and has taught as an assistant professor at Columbia, bringing rigorous causal inference and evaluation methods to industry problems. His career spans government analytics roles in Mexico, impact evaluation at the Inter-American Development Bank, and senior data science leadership at Catalist and Capital One, reflecting fluency in both public-sector policy and high-stakes financial environments. Known for turning complex socioeconomic questions into actionable models, he blends academic rigor with product-oriented delivery and a track record of scaling data-driven decision-making. An uncommon asset is his deep policy background paired with hands-on production experience, enabling him to translate research-grade insights directly into enterprise risk and economic forecasting workflows.
9 years of coding experience
7 years of employment as a software developer
Master’s Degree Political Science, Master’s Degree Political Science at New York University
Master’s Degree Quantitative Methods for the Social Sciences, Master’s Degree Quantitative Methods for the Social Sciences at Columbia University
Political Science, Political Science at Instituto Tecnológico Autónomo de México
This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their doctoral education. Edits, comments, and suggestions are welcome.
Contributions:120 commits, 4 PRs, 89 pushes in 3 years 1 month
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