Pooja Madappa

• Developed 5 balanced machine learning models using SMOTE, increasing prediction accuracy for rare diabetes cases by 15%, and assessed via 4 key metrics, enhancing model transparency.
• Identified BMI, age, smoking, and physical activity as the top predictors of diabetes risk, increasing insight by 20%, and used SHAP for enhanced model interpretability.