Machine Learning Intern
Built an end-to-end machine learning pipeline to classify and match clients using structured form data. Performed data preprocessing and feature engineering to improve model performance for automated matchmaking. Focused on reducing manual screening by leveraging model-driven predictions for scalable decision support. • Input data consisted of structured client/investor form fields • Applied preprocessing and feature engineering for improved accuracy • Trained and optimized ML models for client-investor compatibility classification • Delivered a production-oriented workflow to support data-driven matchmaking