Case study on sales forecasting utilizing machine learning algorithms and time series models. It includes exploratory data analysis, hypothesis testing, feature engineering and model deployment.
This case study delves deeply into OLA driver data to uncover insights about the driver churn and assist the company in retaining drivers.