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Blinkit Sales Performance Power BI Dashboard A data-driven Power BI dashboard analyzing Blinkit’s sales, outlet performance, and customer spending trends using SQL, Power Query, and DAX. Built to demonstrate advanced data modeling, visualization, and business intelligence storytelling in retail analytics.
Coffee Shop Power BI Dashboard A data-driven Power BI dashboard analyzing sales, coffee types, spending trends, and peak-hour performance. Built using Power BI and Excel with DAX and Power Query to demonstrate retail analytics and data storytelling. ☕ Visual insights for smarter business decisions in the café industry.
FraudWatch is a machine learning-based credit card fraud detection system that uses a Random Forest classifier. It visualizes model performance with an interactive confusion matrix heatmap. The system is deployed as a user-friendly Flask web application. 📊
Developed an interactive Road Accident Analysis Dashboard in Microsoft Excel using Pivot Tables, Pivot Charts, and Slicers to analyze 896K+ casualties by severity, vehicle type, road conditions, and yearly trends. Enabled dynamic filtering and year-over-year comparison to support data-driven decision-making.
Music Events is a project that extracts and visualizes live concerts data using the Ticketmaster API. The Python script collects upcoming music events across multiple countries over a nine-month period, and the results are explored through an interactive Power BI dashboard.
Interactive Tableau dashboard showcasing global video game sales insights, trends, and patterns. Analyze genres, platforms, and publishers to uncover actionable insights for the gaming industry. Includes dataset, workbook, and presentation for in-depth exploration.
A project showcasing how to create interactive Tableau dashboards using global COVID-19 data. The repository includes data preprocessing, merging, and visualization creation using Python and Tableau, offering insights into vaccination progress and COVID-19 impact by country.
Dynamic Power BI Dashboard for Amazon Apparel Sales Analysis - Visualize and analyze sales performance across different cities and states with interactive filters and insights
Developed an interactive Retail Sales Performance Dashboard in Microsoft Power BI analyzing multi-year sales data (2019–2024). Applied Power Query, data modeling, and DAX to track KPIs such as Sales, Profit, Quantity, and Margin with dynamic filters and year-over-year comparison to deliver business insights.