Chicago Crime Rate
This project explores crime patterns in the city of Chicago using publicly available datasets. The goal is to identify temporal and spatial trends in criminal activity and uncover insights that could help inform public policy, law enforcement strategies, or community safety initiatives.
Predicting Academic Success
Every year, millions of students enroll in college, yet approximately 40% don't complete their degrees. With such high attrition rates, universities desperately need better ways to predict student success. But can a single test score really tell us who will thrive in higher education?
Anomaly Detection in Multifamily Water Usage
As a business intelligence analyst in the multifamily housing industry, I developed a billing system automation and an early anomaly detection system.
Inventory Optimization: 18% Sales Growth Through Statistical Demand Forecasting
A multi-location shoe retailer was experiencing declining sales due to chronic stockouts in popular sizes, while excess inventory sat unsold. I developed a statistical inventory optimization system that increased sales by 18% in the first year, reversing the company's decline.
Predicting Car Prices with Multiple Regression
The used car market in the US is massive—we're talking over $300 billion. But here's the thing: predicting car prices isn't as straightforward as you might think. There are tons of variables at play, and understanding which ones actually matter can make or break a pricing model.