Description
Applied clean code principles to identify credit card customers likely to churn, focusing on testing, logging, and best coding practices.
Description
Built a reusable machine learning pipeline to predict short-term rental prices in NYC, enabling continuous model retraining with new data.
Description
Deployed a machine learning model on Render using FastAPI, incorporating Git and DVC for tracking, and establishing a CI/CD pipeline for deployment.
Description
Developed a dynamic risk assessment system to predict attrition risk, automating the ML process including model scoring and monitoring.