Educational Data Science Research

Conducted data analysis for an abandoned psychology research project examining relationships between mental health, cognitive metrics, and educational outcomes: - Trained linear regression models with sklearn to identify key predictive features - Used random forests to rank feature importance in cognitive metrics - Utilized R for statistical analyses on COVID pandemic's impact on student performance - Created ggplot visualizations and documentation for non-technical audience