Summary
Michael Wagner is a data scientist with 11 years of professional experience who blends public policy training from the University of Chicago with practical analytics work in government and international organizations. Currently at the Cook County Assessor's Office, he applies SQL, R, and predictive modeling to inform equity-focused property and policy decisions, building on roles at the World Bank and policy labs. He has hands-on experience teaching data and programming in R, leading data science clinic projects, and translating complex econometric analyses into actionable insights for stakeholders. His background supervising large technical teams and working in field data collection (U.S. Census) gives him a rare combination of technical rigor, operational discipline, and on-the-ground empathy for data quality.
11 years of coding experience
3 years of employment as a software developer
University of Illinois Urbana-Champaign
Master's degree, Public Policy, Master's degree, Public Policy at University of Chicago
English, Spanish