Why do customers leave, and what can businesses do to reduce customer churn? This is the question I explored in my MTN Customer Churn Analysis project, a personal project I built to strengthen my data analytics skills and showcase my work in my portfolio. Using Power BI, I developed an interactive dashboard to analyze customer behavior, revenue performance, device sales, customer satisfaction, and churn patterns. Some key findings from my analysis include: 📊 29.16% customer churn rate 💰 ₦5.28M in revenue lost due to churn 📈 Analysis of customer churn reasons, including poor network service, costly data plans, and better offers from competitors. My goal was to transform raw data into meaningful insights that could help a business better understand its customers, identify potential problems, and make more informed decisions. Through this project, I applied my skills in data analysis, data visualization, and Power BI dashboard development to explore a real-world business problem. This is one step in my journey as a data analyst. I'm committed to learning, building more projects, and continuously improving my analytical skills 🔗 Explore my portfolio and projects: https://lnkd.in/eDpZUPkm I'd appreciate your feedback, suggestions, and the opportunity to connect with other data professionals. #PowerBI #DataAnalytics #CustomerChurn #PortfolioProject #DataVisualization