Healthcare Analytics- Predictive Modeling for Diabetes, 01/2023, 04/2023, Developed a diabetes prediction model using SAS Enterprise Miner to identify individuals at risk based on clinical and lifestyle data. Utilized data preparation techniques for handling missing values and feature engineering to enhance predictive accuracy. Implemented multiple classification models, including logistic regression and decision trees, and evaluated their performance using AUC-ROC Curve and F1-score metrics. Utilized Tableau to analyze and visualize healthcare data, presenting valuable insights. Deployed the best-performing model for real-time predictions.