Summary
Ajjit Narayanan is a Lead Data Scientist specializing in housing and racial equity, bringing eight years of experience applying cloud-native data science, geospatial analysis, and machine learning to civic problems. Currently leading housing-equity analytics at the Federation for American Scientists and AWS-certified, he has guided projects at the Urban Institute and trained data scientists at LSE, blending policy fluency with reproducible, open-source tooling. A map lover and open-source enthusiast, he builds mapping and data-privacy tools that help translate complex spatial data into actionable, equitable policy insights. Based in Washington, DC, he pairs academic rigor from LSE with hands-on experience across research, training, and applied analytics to make data-driven decisions that surface and mitigate inequities.
8 years of coding experience
5 years of employment as a software developer
London School of Economics and Political Science
University of Pennsylvania