Warehouse Workload Forecasting & Supply Chain KPI Dashboard Developed and deployed a machine learning model to forecast weekly warehouse workload, leveraging historical order data, supplier lead times, and seasonal demand patterns to optimize resource allocation and reduce operational bottlenecks Designed and implemented an end-to-end data pipeline for data cleaning, feature engineering, and model training using Python (Pandas, Scikit-learn) and SQL

