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Joseph Godwin

Joseph Godwin

Data Analyst

Cover image for Why do customers leave, and
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: šŸ“Š 29.16% customer churn rate šŸ’° ₦5.28M in revenue lost due to churn šŸ“ˆ 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 šŸ”— Explore my portfolio and projects: https://lnkd.in/eDpZUPkm (https://lnkd.in/eDpZUPkm)I'd appreciate your feedback, suggestions, and the opportunity to connect with other data professionals. #PowerBI (https://www.linkedin.com/search/results/all/?keywords=%23powerbi&origin=HASH_TAG_FROM_FEED) #DataAnalytics (https://www.linkedin.com/search/results/all/?keywords=%23dataanalytics&origin=HASH_TAG_FROM_FEED) #CustomerChurn (https://www.linkedin.com/search/results/all/?keywords=%23customerchurn&origin=HASH_TAG_FROM_FEED) #PortfolioProject (https://www.linkedin.com/search/results/all/?keywords=%23portfolioproject&origin=HASH_TAG_FROM_FEED) #DataVisualization (https://www.linkedin.com/search/results/all/?keywords=%23datavisualization&origin=HASH_TAG_FROM_FEED)
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