Customer Churn Analysis

🔍 Key Steps in the Project: 1_Data Cleaning & Preparation: Checked for duplicates and missing values, and made the dataset suitable for visualization. 2_Modeling: Connected different data sources and established relationships between tables for meaningful analysis. 3_Dashboard : -Created an interactive Power BI dashboard to visualize key metrics such as customer churn rates, churn by region, gender, and credit score. -Used slicers and filters to allow users to explore the data based on different dimensions, such as geography and customer activity. -The dashboard provided insights into the characteristics of churned customers and the factors influencing their decision to leave. 4_Recommendations: Provided actionable strategies such as personalized campaigns for high-risk groups, region-specific solutions, and loyalty programs to enhance customer retention.