Stroke Prediction End-to-End Pipeline

Architected and deployed an end-to-end medical risk predictive data pipeline and interactive web application. Managed cloud-based data ingestion and storage using Aiven SQL, orchestrating the extraction and ETL processing of complex health indicators. Engineered a seamless pipeline transitioning from raw cloud database queries to robust feature preprocessing and machine learning execution using scikit-learn, ultimately deploying the production-grade system via Streamlit to serve real-time stroke probability inferences.