Customer Churn Prediction, Analysis and Reduction Strategies.

Customer churn is a critical challenge for businesses, impacting long-term profitability and growth. Identifying customers who are likely to churn allows enterprises to take proactive measures to improve retention. The objective is to Analyze, visualize, and provide insights to reduce churn.

Nairobi Air Quality Prediction

This project develops an autoregressive time series model to predict PM2.5 levels in Nairobi using historical sensor data. Identifying patterns enhances forecasting accuracy, supporting policymakers, environmental agencies, and the public in mitigating the adverse effects of air pollution.

Dynamic Routing

This project clusters shops around fulfilment centres to optimize delivery routes for Company X. By minimizing travel distances and maximizing vehicle utilization, the solution enhances cost efficiency and logistics, enabling effective dynamic routing for fast-moving consumer goods distribution