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Customer Behavior Dashboard (Power BI)
Problem: 3,900 raw customer transactions needed to be turned into a full analytics project, not just a chart.
What I built: Cleaned and engineered features in Python, wrote business-focused SQL queries in PostgreSQL, then built an interactive Power BI dashboard covering subscription status, revenue and sales by category, and revenue/sales by age group.
Result: Surfaced insights like male customers driving nearly double the revenue of female customers, a clear loyalty gap among repeat non-subscribers, and pricing issues on discount-dependent products.
Tags: Python, SQL, Power BI, Customer Analytics, Business Intelligence
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