Worked on a machine learning project focused on predicting heart disease using real-world healthcare datasets. Involved in data preprocessing, exploratory data analysis, feature selection, model training, and performance evaluation using multiple classification algorithms. Compared different ML models to identify the most accurate approach for prediction and analyzed key health indicators affecting results.