Summary
Harsh Pachisia is a Data & Policy Lead with eight years of experience applying machine learning and geospatial analysis to public sector challenges across the US and India. He has led and scaled small data science teams, designed dashboards and open-source analytics platforms for state governments, and optimized inspection and leak-detection pipelines for environmental compliance. A UChicago MSc in Computational Analysis & Public Policy and former World Bank data fellow, he blends rigorous causal program evaluation with pragmatic product-focused modeling. His work includes large-scale mobility and satellite imagery projects (processing billions of pings and drainage maps) that directly informed government decision-making. Comfortable moving models from research to production, he also reduces operational costs by substituting proprietary inputs with viable open alternatives. Based in Chicago, he actively seeks roles at the intersection of data science, program evaluation, and policy implementation.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computational Analysis and Public Policy, 3.9/4.0 (Honors), Master of Science - MS, Computational Analysis and Public Policy, 3.9/4.0 (Honors) at Harris School of Public Policy at the University of Chicago
Bachelor of Science (B.Sc.), Business and Political Economy, 3.85/4.00, Bachelor of Science (B.Sc.), Business and Political Economy, 3.85/4.00 at New York University - Leonard N. Stern School of Business
High School Diploma, Business/Commerce, General, High School Diploma, Business/Commerce, General at The Cathedral and John Connon School
English, Hindi