🎓 Data Science & Mathematics student at the University of Wisconsin–Madison (Class of 2027)
💡 Passionate about machine learning, data analysis, and leveraging technology for sustainable impact
🌍 I’m especially interested in reducing global inequalities through data-driven insights.
- 🧠 Apply machine learning and statistical modeling to real-world datasets
- 💻 Build interactive data tools and visualizations
- 📊 Explore complex systems through data storytelling and ethical AI
- Built with Python, Exa AI API, and HuggingFace
- Analyzes online search results for bias, domain diversity, and sentiment trends
- Visualizes source distribution with entropy and Gini index metrics
- Integrates GeoPandas, SQLite, and scikit-learn
- Predicts Wisconsin population trends from multi-source geospatial data
- Produces interactive maps and visual analytics
- Custom OOP + BST framework to analyze fairness in lending datasets
- Explores demographic and economic factors behind loan outcomes
| Language | Level | Tools & Libraries |
|---|---|---|
| Python | Advanced | Pandas, NumPy, Matplotlib, Scikit-learn, XGBoost |
| R | Intermediate | Tidyverse, ggplot2 |
| HTML / CSS | Advanced | Web Design, Responsive UI |
| SQL | Intermediate | SQLite, Query Optimization |
- Big Data Systems — Storing and analyzing massive datasets
- Mathematical Methods in Data Science — Optimization, Matrix Factorization
- Probability Theory — Random Variables, Limit Theorems
- Data Science Modeling II — Regression, Cross-validation, ANOVA
- 💬 I enjoy analyzing patterns and visualizing insights hidden in data.
- 🧩 Currently learning advanced ML, data ethics, and causal inference.
✈️ Outside of code, I love exploring cultures, art, and creative storytelling.
📧 longjam@wisc.edu
💼 LinkedIn
💻 Portfolio Website
🐙 GitHub
“Turning data into decisions — one insight at a time.”