Sana Afrin

I've built machine learning and full-stack applications that turn data into practical user experiences, including healthcare prediction systems, a RAG document assistant, and a food ordering web application.

At Skilltimate Technologies, I developed a Heart Disease Prediction System using Python and Scikit-Learn. I processed 5,000+ patient records, improved prediction accuracy by 15% through feature engineering and model optimization, and built a Random Forest model achieving 87%+ accuracy.

At Smart Learn Edtech, I developed a Food Ordering Web Application with React.js, Node.js, MongoDB, and REST APIs for user and order management. I improved application response time by 30% through backend optimization and automation while collaborating through Git-based development and debugging.

I'm completing a B.Tech in Artificial Intelligence and Machine Learning and enjoy applying Python, data analytics, machine learning, and backend development to real-world problems. My projects include a Streamlit-based AI Document Assistant using LangChain, Gemini API, and ChromaDB, plus a hospital readmission prediction dashboard built on 50,000+ patient records.