● Developed and deployed ML models for the banking sector (lending and refinancing). ● Optimized and tested models using modern frameworks. ● Built pipelines for handling large datasets, including data collection, cleaning, and analysis. ● Deployed models into production using CI/CD tools. Project: Kaggle & lending and refinancing. ● Real Estate Price Prediction (Kaggle). ● Used machine learning methods (XGBoost, LightGBM) to predict real estate prices. ● Achieved high accuracy with less than 5% error in price predictions. ● NCAA Tournament Outcome Prediction (Kaggle). ● Developed models to predict NCAA tournament results, improving accuracy by 10% over base models. ● Credit Default Prediction (Kaggle). ● Developed models for credit risk assessment using class balancing and feature engineering techniques.