Summary
Te Du is a data scientist with eight years of experience applying data engineering, spatial analysis, and policy-focused analytics to urban problems in New York City. Currently working across city agencies, they build and transition critical tools like the Urban Risk Index and Hazard History & Consequence Tool, advocating for open-data publication and operational ownership. Their background spans end-to-end ETL and CI/CD pipelines, GraphQL backends, and spatial SQL/PostGIS work that powered planning products such as PLUTO and development forecasts. Past projects include large-scale geocoding of business and wage datasets, predictive modeling of ride-hail demand, and building AR-ready data services—demonstrating a mix of rigorous research, production engineering, and applied policy insight. Trained in urban informatics (MS) and applied mathematics, Te pairs technical depth with stakeholder-facing skills, often leading roadshows and user research to shape tool adoption. Less obvious: they routinely bridge vendor-built systems to in-house ownership, turning one-off products into reproducible, open data assets.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Urban Informatics, Master of Science - MS Urban Informatics at NYU Center for Urban Science + Progress
University of California, Los Angeles