Learn about Chicago's most polluting buildings, and what they can do to clean up their act!

This study creates machine learning models to predict the seriousness of car crashes using 2019 and 2020 crash reports from the publicly accessable database maintained by the Chicago Police Department. A car crash is considered serious if the crash results in an injury or the car is towed due to the crash. Models use categorical features that de…

Analyzes half a million Chicago car accidents to determine if the presence of red light cameras improves intersection safety. Evaluates how intersection characteristics and other factors affect the number and type of intersection crashes.

A traffic crash report for the Illinois General Assembly

Analysing Chicago Crime Data

Python Client for Chicago Transit Authority

An analysis of red light and speed camera citations in Chicago.

A Django web application allowing users to build a school quality rating policy (SQRP) model for the Chicago Public Schools (CPS)

Investigation of vehicular emissions on Chicago's air quality through assessing traffic density, air quality trends and accessibility of EV stations

Provides web dashboard for 153 Chicago red light camera intersections, including violations, crashes, and other intersection statistics.

Time series modeling of new construction permit volumes in Chicago. Includes feature engineering, model benchmarking (RF, XGBoost, Prophet), and forward forecasting until Dec 2025. Developed from a real-world investment analyst use case.

Bias detection project for the Chicago Face Database (CFD)

We Can Have Nice Things

A map showing all the pothole request throughout the city of Chicago

To better understand which areas in Chicago are experiencing the most change in building permits using data from the City of Chicago's Data Portal

The Chicago Energy Usage Analysis project aims to explore energy consumption patterns in Chicago using big data techniques. Leveraging Apache Spark, it processes a dataset of 67051 records to provide actionable insights for urban planning and energy efficiency initiatives.