• Cleaned and analyzed 1,000+ patient records, identifying key risk correlations through EDA. • Engineered features and built Logistic Regression SVM models, improving accuracy by 15%. • Used pre-processing, feature engineering, and Matplotlib for data visualization.
Tech Stack: Python, Machine Learning, SVM, Logistic Regression, StreamLit