• Designed and deployed an end-to-end ML-based warehouse optimization system to reduce resource wastage and improve logistics efficiency • Engineered feature pipelines using Python and Pandas, processing structured operational data to train predictive models • Applied optimization algorithms to improve inventory allocation, reducing simulated lead time and storage cost • Evaluated model performance using cross-validation, achieving robust generalization across unseen data distributions