SoleMate
A data-driven running shoe recommendation engine that matches runners with the best shoes from 300+ lab-tested options using nearest-neighbor search in biomechanical feature space.
Machine LearningD3.js+2
What I Do
Hey! I'm Sejal, a data scientist based in NYC. I specialize in modeling work at the intersection of sports and tech. Currently, I am working on scheduling optimization at the NBA League Office.
Previously, I worked at Nike and IBM. I have a Master’s in Analytics from Georgia Tech and a dual Bachelor’s in Data Science and Biomedical Engineering from Tufts.
In my free time, you can find me running in Central Park, perfecting my guacamole recipe, playing rec softball, or enjoying a good Sumo orange.
Selected Work
Writing
Towards Data Science
Jet Sweep: Route Optimization to Visit Every NFL Team at Home
Solving a traveling salesman variant to find the optimal road trip through all 32 NFL stadiums.
Jun 2024·12 min
Towards Data Science
Optimizing Super Bowl Squares with Linear Programming
Turning a party game into an optimization problem with PuLP and historical score data.
Feb 2024·10 min
Towards Data Science
The Intersection of Geocoding and Art with OpenStreetMap and NetworkX
Generating street network visualizations as art prints using geospatial data.
Jan 2024·10 min