Trevor Kapuvari

I’m a Data Scientist at National Grid, building spatial risk classification models and GIS-driven data infrastructure for utility-scale operations. Previously, I was a Spatial Data Scientist and GIS Specialist at Con Edison, where I led an initiative integrating LLMs into GIS for automated data quality review, and a Data Analyst at the U.S. Geological Survey working on groundwater and water quality analysis.

I hold an M.S. in Urban Spatial Analytics from the University of Pennsylvania’s Weitzman School of Design and a B.A. in Environmental Design, Policy, and Planning from Stony Brook University. My toolkit centers on Python, R, SQL, and ArcGIS, with a focus on machine learning, geospatial risk modeling, and data & policy analytics.

Projects include a machine learning dashboard for predicting litter risk hotspots, an algorithmic bias audit of a predictive policing model in Chicago, a logistic regression model prioritizing outreach for a Philadelphia home repair tax credit program, and a transit-oriented development impact analysis of the San Francisco Bay Area’s BART system.

Take a look at my projects, Resume, or GitHub to see more of my work.