Conducted an end-to-end analysis of telecom customer data to understand key factors influencing customer churn and revenue loss. Performed detailed exploratory analysis to evaluate churn patterns across contract types, tenure groups, internet services, and payment methods. Built an interactive dashboard highlighting KPIs such as total customers, churn rate, retained customers, and revenue loss, providing actionable insights for customer retention strategies.
Built an end-to-end retail data analytics project to analyze sales performance, profitability drivers, and customer trends. Cleaned and prepared datasets using Python, performed structured business analysis using SQL with joins, aggregations, and window functions. Created an interactive Power BI dashboard to visualize KPIs, sales trends, product performance, and regional insights. Key analysis included sales trends, product profitability, customer segmentation, discount impact, and regional performance.
Amazon Web Services (AWS)
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