Qena ,Egypt

? Project Description: Telecom Churn Prediction

The project aims to develop a predictive model for customer churn in the telecommunications industry.

- Problem: Customer churn leads to significant financial losses.

- Solution: Analyze customer demographics, usage behavior, and service data to identify clients most likely to leave.

- Tools: Python, Pandas, Scikit-learn, Keras/TensorFlow.

- Deliverables: Analytical reports, visual dashboards, and a machine learning model that supports proactive retention strategies.