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📊 End-to-end Vendor Performance Analysis project using Python (ETL & EDA), SQL (data modeling), and Power BI (Dashboards) to analyze vendor profitability, cost efficiency, and inventory optimization — turning raw data into actionable business insights.
Vendor performance analysis integrating sales, purchase, and inventory data to optimize pricing, inventory, and supplier efficiency with SQL, Python, and Power BI.
Vendor performance analysis project using Python to identify cost inefficiencies, profitability variance, and vendor-level risks in a retail dataset. Focused on data cleaning, exploratory analysis, and actionable business insights using Pandas and Polars.