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Customer Churn Dynamics – Key Metrics & Insights
📌 Dataset: Kaggle
🔍 Project Focus: Understanding customer churn patterns and identifying key drivers of attrition.
🔧 Approach & Tools Used:
Data Cleaning & Organization: Ensured data accuracy and consistency for precise analysis.
Exploratory Data Analysis (EDA): Identified major factors influencing customer churn.
Interactive Visualization: Developed a Power BI dashboard to present insights in a clear and actionable manner.
📊 Outcome:
This project provides data-driven insights to help businesses reduce churn rates, improve customer retention strategies, and make informed decisions based on real patterns and trends.
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