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 describe conditions at the time of the crash and crash causes to predict the required target. The current focus is to classify whether a crash results in an injury. All machine learning models are trained, validated, and tested on randomly split 2019 crash reports. The best model (along with all others) are then tested using the full set of 2020 crash reports.

Custom skills for Claude Code - domain-specific knowledge and workflows

A traffic crash report for the Illinois General Assembly

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.

Analysing Chicago Crime Data

Python Client for Chicago Transit Authority

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.

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.

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

An interactive Business Intelligence dashboard and SQL analysis project examining socioeconomic indicators, public schools, and crime data in Chicago communities.

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

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

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