Power BI Projects Repository

📊 Repository Overview

This repository contains multiple Power BI projects, each organized in its own dedicated folder with data, dashboards, and analysis.

📁 Project Structure

Each project folder contains:

• Data/ - Raw and processed datasets
• [ProjectName].pbix - Power BI dashboard file
• Analysis/ - Documentation, insights, and analysis files
• README.md - Project-specific documentation

🗂️ Projects

1. Dashboard_1

Located in: Dashboard_1/

Madhav E-commerce Sales Dashboard

Comprehensive sales analytics dashboard for Madhav Store's e-commerce operations. Tracks revenue, profit, and sales performance across multiple product categories (Clothing 62.6%, Electronics 20.6%, Furniture 16.8%) with detailed analysis of payment modes, geographical distribution, and monthly trends.

Key Metrics:

• Total Revenue: ₹438K
• Total Profit: ₹37K
• Average Order Value: ₹121.01K
• Total Units Sold: 5,615
• Total Orders: 500

Quick Start:

1. Navigate to Dashboard_1/ folder
2. Place data files in Dashboard_1/Data/
3. Open Dashboard_1.pbix in Power BI Desktop
4. See Dashboard_1/README.md for details

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2. Setu Dashboard

Located in: setu_dashboard/

Feedback Dashboard on Setu Skill Enhancement Sessions

Comprehensive analytics dashboard tracking student feedback, engagement, and satisfaction across 5 different skill enhancement workshops (Communication Skills, Canva, Power BI, Generative AI Tools, Resume Building). Analyzes data from 30 students with average age 22.70 years.

Key Metrics:

• Student satisfaction and overall ratings
• Workshop engagement and interactivity levels
• Trainer effectiveness by workshop
• Skill application likelihood
• Recommendation scores

Quick Start:

1. Navigate to setu_dashboard/ folder
2. Place data files in setu_dashboard/Data/
3. Open setu_dashboard.pbix in Power BI Desktop
4. See setu_dashboard/README.md for details

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🚀 Getting Started

1. Clone this repository
2. Navigate to the specific project folder you want to work on
3. Follow the instructions in that project's README.md
4. Place your data files in the respective Data/ folder
5. Open the .pbix file in Power BI Desktop

🎓 Skills Demonstrated Across Projects

• Power Query transformations
• Data modeling
• DAX calculations
• Time intelligence
• Interactive visualizations
• Performance optimization
• Row-level security
• Custom visuals

📚 Resources

• Power BI Documentation
• DAX Guide
• Power BI Community

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Last Updated: December 30, 2025