I’ve worked on machine learning projects that tackle real-world challenges, like stock forecasting, customer churn prediction, and order forecasting.

In the stock forecasting project, I developed models that analyze historical data to predict future price trends, helping investors make more informed decisions.

For customer churn prediction, I built models that identify at-risk customers by analyzing behavior patterns, enabling businesses to take proactive steps in retaining them.

The order forecasting project involved predicting future demand, helping Ecommerce grocery optimize inventory management and reduce operational costs.

Each project is focused on delivering accurate predictions using data-driven insights.