Used scraped Khan Academy data to build ML models (KNN, IRT, Neural Network) predicting student performance on diagnostic questions. Boosted runtime efficiency by 80% and reduced memory usage by 26% via PCA. Developed with Python and scikit-learn to explore personalized learning at scale.