I engineered a high-precision forecasting system using an ensemble approach with LSTM, ARIMA, and XGBoost to predict pharmaceutical sales trends. By performing rigorous hyperparameter tuning via GridSearchCV, I achieved a 93% prediction accuracy on historical datasets. To ensure business stakeholders could trust the results, I integrated SHAP values for model interpretability and deployed the solution as a scalable Flask API.