For my final capstone project (M.S. Advanced Data Analytics), I analyzed Fall 2023 U.S. college enrollment data (115K records, 5,900+ institutions) to uncover demographic patterns and predict graduate enrollment.
- Key Findings:
- Women consistently outnumber men in enrollment, with the gap widening at the graduate level (60.6% vs. 39.4%).
- Hispanic student representation drops sharply from undergrad (25.6%) to graduate (15.2%).
- Institutional size distribution is highly skewed (median 588 vs. mean 3,332).
- **Models Utilized: Linear Regression, Decision Trees, and Random Forest.
- Best performer: Random Forest (R² ≈ 0.78, MAE ~631).
- Strongest predictors of graduate enrollment: female enrollment and Asian student representation.