Ross Kimme

Ross
Kimme

About

I'm a freshman at UIUC exploring the intersection of data, systems, and problem-solving. I'm drawn to questions that combine quantitative thinking with real-world applications—whether that's understanding how policies shape behavior, optimizing physical systems, or building tools that help people make better decisions.

Projects

UIUC Course Explorer & GenEd Planner

Full-stack app aggregating GPA data, live section status, and professor ratings for UIUC course planning. Features a backtracking set-cover algorithm for optimal gen-ed combinations, prerequisite tree visualization, and grade distribution histograms.

Full-Stack Algorithms Data

ICE Deportation Risk Classifier

Deportation risk classifier and detention time predictor built on real ICE FOIA data. Designed to interpret black-box detention decisions and help nonprofits allocate legal resources.

ML Python FOIA Data

2024 Election Polling Analysis

Analyzed 600+ polls using confidence intervals and sampling distributions to identify discrepancies between polling predictions and actual 2024 election results.

Statistics Python Data

World Happiness Index Predictor

Predicted World Happiness Index scores using economic and societal indicators. Applied feature scaling to interpret variable importance across countries.

ML Python Statistics

Skills

Python
NumPy
Pandas
SciPy
Scikit-learn
Data Analysis
Statistics
Basic SQL
Data Visualization
Jupyter Notebooks
Technical Writing
Claude / Codex (IDE)

Contact