Built a predictive analytics engine to analyze historical data and generate actionable forecasts for business decision-making.
Developed data preprocessing pipelines, feature engineering workflows, and supervised learning models for classification and regression tasks.
Implemented evaluation metrics, model validation, and automated reporting dashboards.
Result: Delivered data-driven forecasting insights and improved operational planning accuracy.