Sales Forecasting System

I developed an ML model for sales volume forecasting that takes into account seasonality and external factors. Using Scikit-learn and Pandas, I created an algorithm that automatically updates when new data comes in. I integrated the system with the client's existing infrastructure through a Django backend. The main challenge was handling incomplete data, but I solved this using advanced imputation methods. The system improved forecast accuracy by 35% and helped the client reduce excess inventory by 20%.