I build high-accuracy AI models to solve real-world healthcare challenges. My expertise includes developing predictive systems for early disease detection.
Featured Project: Heart Disease Prediction Model
Goal: Predict the 10-year risk of a major cardiac event.
Technology: Python, Pandas, Scikit-learn, TensorFlow/Keras.
Process: The model is trained on clinical data (e.g., cholesterol, blood sugar, ECG results) to identify complex patterns.
Output: Generates a personalized risk percentage, helping doctors and patients make informed decisions about preventive care.