Developed a robust sales forecasting model using machine learning to predict future sales for large enterprises. Utilized historical sales data, economic indicators, and market trends to build time series models. Implemented the solution in Python and R, using Pandas, Scikit-learn, and Prophet. Enabled enterprises to optimize inventory management, improve sales strategies, and increase revenue by accurately forecasting demand.