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  1. End-to-End-Analytics-Pipeline-Business-Performance-Customer-Intelligence End-to-End-Analytics-Pipeline-Business-Performance-Customer-Intelligence Public

    Analyzed $12.64M revenue data to uncover profit leakage, revealing 12% margin, discount-driven losses beyond 20%, and high customer concentration.

    Jupyter Notebook 1

  2. End-to-End-Analytics-Pipeline-Netflix-Content-Strategy-Analysis End-to-End-Analytics-Pipeline-Netflix-Content-Strategy-Analysis Public

    Built an analytics pipeline on 8,800+ titles across 124 countries, identifying 72% movie dominance and ~70% content concentration in US & India.

    Jupyter Notebook 1

  3. Stripe-SaaS-Fraud-Risk-Intelligence-End-to-End-Data-Analytics-Project Stripe-SaaS-Fraud-Risk-Intelligence-End-to-End-Data-Analytics-Project Public

    End-to-end fraud analytics project analyzing 200+ SaaS transactions to detect high-risk users, uncover fraud patterns, and quantify 27% revenue loss using SQL, Python, and Power BI.

    1

  4. Sales-And-Profit-Analysis-Dashboard-Excel Sales-And-Profit-Analysis-Dashboard-Excel Public

    Interactive Excel dashboard analyzing 50K+ orders to uncover sales trends, with top regions driving ~60% revenue and top products contributing ~30% of sales.

  5. Excel-Data-Analysis-Airline-Customer-Experience-Analysis-100K-Records- Excel-Data-Analysis-Airline-Customer-Experience-Analysis-100K-Records- Public

    Analyzed 100K+ passenger records to quantify satisfaction drivers, showing 56% satisfaction rate and 30–40% drop due to 15+ min delays.

  6. SQL-Data-Analysis-Project-Movie-Rentals-Decoded-Business-Analysis-on-Customer-Revenue-Behavior SQL-Data-Analysis-Project-Movie-Rentals-Decoded-Business-Analysis-on-Customer-Revenue-Behavior Public

    Performed SQL analysis on 160K+ rentals to uncover revenue drivers, with top 10 customers contributing ~28% revenue and Action/Comedy generating ~45% share.