Enterprise Sales Forecasting Using Machine Learning

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