📊 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.

End-to-end retail inventory analytics project using SQL and Python (SQLAlchemy), featuring ETL pipelines and data modeling on 12M+ transactions to optimize inventory, turnover, pricing, and vendor strategy.

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.

End-to-end supply-chain analytics control tower: SKU-level demand forecasting, safety stock & reorder optimization (OR-Tools), OTIF and vendor scorecards. Built with Airflow, dbt, DuckDB, and Streamlit.

End-to-end analysis of retail vendor performance using Python to identify profitability, optimize procurement, and improve inventory efficiency.

Vendor performance analysis integrating sales, purchase, and inventory data to optimize pricing, inventory, and supplier efficiency with SQL, Python, and Power BI.

End-to-end analysis of vendor performance and inventory efficiency using MySQL, Python and PowerBI to drive data-informed business decisions

End-to-end analysis of 15M+ records for Bibitor LLC. Identified $199K in shrinkage and $28M in trapped capital using PostgreSQL and star schema modeling.