Using machine learning to predict significant train delays within the NJ Transit system.

Project analyzes influence of transit-oriented development in Queens, NY by evaluating the differences between TOD and non-TOD areas across time.

This project attempts to predict housing prices in metropolitan Miami by taking into consideration a home’s unique features (e.g., fence, patio) as well as considering local amenities and external features like schools, parks, and access to major roads.

Predict likelihood of homeowner uptake of Home Repair Tax Credit (HRTC) to most cost-effectively target marketing efforts.

This project uses a machine learning model to determine the risk of arrest for unlawful firearm possession in the city of Chicago.