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End-to-end retail analytics using SQL and Power BI. Analyzed $2.27M retail revenue using SQL and Power BI to uncover customer behavior, retention patterns, product performance, profitability drivers, and sales trends.
End-to-end SQL and Power BI analysis of global sales performance, focusing on profitability, discount strategy, and shipping cost efficiency across markets.
Using VBA Macros, we will determine if setting up a business would be profitable 15 years down the line, subject to 9 inputs, each associated with a certain uncertainty (pun intended!) using Monte Carlo simulation.
Retail Business Analytics & Dashboarding project using SQL and Power BI — data validation, 360° customer modeling, profitability analysis, and executive-level KPI reporting for strategic decision-making
End-to-end data analysis project using Excel, MySQL, and Power BI to analyze Superstore sales, identify profitability drivers, and provide actionable business recommendations.
Content ROI and Genre Profitability is a data analytics project focused on evaluating content performance across different Genres and Platforms using financial and engagement metrics
An interactive Power BI dashboard analyzing Amazon's global sales data — covering revenue trends, regional performance, customer profitability, and segment-wise breakdowns to support data-driven business decisions.
This capstone Power BI analytics project was developed to support Techtronix Innovations, a leading AI player in the microchip and robotics industry. The project addresses key business challenges including sales strategy optimization, customer insights, inventory management inefficiencies, and identification of profitable market opportunities.
Analyze and optimize the cost and profitability of a food delivery service using Python. This project includes data cleaning, cost breakdown, revenue calculation, and strategic recommendations to enhance profitability.
📊 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.
In this capstone project, I analyzed a company's inventory and sales data to produce a report using Power BI and Tableau with my findings. I also designed a ranking system that would classify items in Excel by their Gross Margin Return on Investment values.
Power BI and SQL analysis of a $2.3M retail portfolio identifying profit leakage drivers and margin erosion across categories includes pricing optimization simulation with $182K uplift estimate.