Welcome to my Excel Projects Repository, a collection of real-world Data Analytics and Data Science projects built using Microsoft Excel. This repository is designed to showcase my skills in data cleaning, analysis, visualization, dashboard creation, and business insights generation — all using Excel.
Whether you're a recruiter, data enthusiast, or learner, this repo highlights how Excel can be used to solve business problems through clear analytics and interactive dashboards.
This repository includes Excel projects related to:
- Handling missing values
- Removing duplicates
- Data transformation
- Formatting and structuring datasets
- Summary statistics
- Trend analysis
- Segmentation (Gender, Age, Category, Region)
- Performance comparison
- Pivot tables & pivot charts
- Slicers (Month, Category, Channel, Region, etc.)
- KPIs & metrics
- Business insights and conclusions
- Sales analysis
- Customer behavior analysis
- Ecommerce performance
- Operational metrics
- Category performance
- Store/region level insights
Each project folder typically includes:
📁 Project Name
├── Dataset (Excel)
├── Dashboard (Excel)
├── Dashboard Preview (PNG)
└── README.md (Project documentation)
- Data Cleaning
- Pivot Tables & Pivot Charts
- Dashboard Design
- KPI Reporting
- Business Analytics
- Excel Formulas (IF, VLOOKUP/XLOOKUP, INDEX MATCH, COUNTIFS, SUMIFS, etc.)
- Slicers & Interactive Elements
- Data Visualization
- Problem Solving & Insight Generation
This repository serves as:
- A portfolio of my Excel-based analytics capabilities
- A reference for real-world business analysis projects
- A space where I will continue to upload future Excel projects
- A showcase of my progress as a Data Analyst & Data Science learner
- Recruiters evaluating my Excel skills
- Students learning Excel dashboards
- Aspiring data analysts
- Professionals exploring business analytics
- Anyone looking for practical Excel projects
Muhammed Thaha Uwais 📧 muhammedthahauwais@gmail.com 🔗 LinkedIn: https://www.linkedin.com/in/muhammed-thaha-uwais-5b5444279/
If you find this repository useful, consider giving it a ⭐ Star on GitHub — it motivates me to build and share more projects!