End-to-end operational analytics for a dairy plant using Python & Power BI. Engineered KPIs (Yield %, Cost per Kg, Gross Margin) from 60 days of production data. Identified SOP non-compliance as the root cause of ₹880/day average losses via correlation and sensitivity analysis.

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SQL data analysis project exploring U.S. dairy production trends using joins, aggregations, and business-driven queries

This project showcases an interactive Power BI dashboard analyzing dairy product sales across brands, locations, and time. It includes KPIs, product and brand performance, trend analysis, filters, and tooltips. The dashboard helps identify top products, revenue patterns, and loss-making areas for better business decisions.