This project involves analysing customer churn data for a call center to gain insights into customer behavior and retention. The dataset includes various customer attributes and service details.

Key Features: Churn Rate Analysis: Visualizations and metrics to understand the churn rate across different contract types. Customer Demographics: Analysis of churn patterns based on gender, seniority, and other demographics. Service Usage: Insights into how service features (e.g., internet service, tech support) impact churn. Tools Used: Power BI: For data visualization and interactive dashboard creation. Dataset Columns: customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod, MonthlyCharges, TotalCharges, numAdminTickets, numTechTickets, Churn The project aims to help the call center identify key factors influencing customer churn and develop strategies to improve retention.