Built a modular, scalable ML

Built a modular, scalable ML solution for property valuation in Chile as part of a one-week Bain consulting challenge. Starting from a raw Jupyter notebook, I refactored the code into a professional pipeline MVP with a training workflow, FastAPI prediction service, and Dockerized deployment. The repo was designed for future database integration and scalable business needs, showing my ability to transform exploratory work into a production-ready solution quickly and clearly.