{"id":28315517,"url":"https://github.com/mandeep04sharma/kpmg-data-analysis-using-excel","last_synced_at":"2026-01-28T21:01:25.965Z","repository":{"id":287856762,"uuid":"966015531","full_name":"Mandeep04Sharma/KPMG-Data-Analysis-using-Excel","owner":"Mandeep04Sharma","description":" End-to-end customer and sales data analysis project using Excel. 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The goal was to derive insights on customer behavior, lifetime value, sales trends, and segmentation using only Microsoft Excel.\n\n---\n# 🎥 Project Video Walkthrough\n📽️ [Click here to watch the full video presentation](https://drive.google.com/drive/folders/196lAkVsefX8Jv-HEPpgAneSxgjbziKpV)\n\n## 🛠 Tools \u0026 Techniques\n\n- Microsoft Excel (Pivot Tables, Charts, Conditional Formatting)\n- Data Cleaning\n- Customer Segmentation\n- Transaction Trend Analysis\n- Customer Lifetime Value (CLV) Calculation\n\n---\n\n## 📈 Key Tasks Completed\n\n1. **Data Cleaning**\n   - Fixed gender and default anomalies\n   - Removed duplicates and standardized formats\n\n2. **Customer Segmentation**\n   - Segmented customers by wealth, gender, and job industry\n   - Found insights on tenure and spending behavior\n\n3. **Sales \u0026 Product Analysis**\n   - Created monthly sales trend charts\n   - Identified top brands and product lines\n\n4. **Customer Lifetime Value (CLV)**\n   - Calculated CLV using Excel formulas:\n     ```\n     CLV = (Average Purchase Value × Purchase Frequency) × Customer Lifespan\n     ```\n\n5. **New Customer Insights**\n   - Analyzed new customer demographics and estimated revenue\n\n6. **Executive Summary**\n   - Final dashboard and strategic recommendations provided\n\n---\n\n## 📁 File in this Repository\n\n- **KPMG-Data-Analysis-using-Excel.xlsx**  \n  Contains all sheets: data cleaning, segmentation, analysis, charts, and final insights.\n\n---\n\n## 🧠 Sample Insights\n\n- NSW and QLD have the highest concentration of high-value customers.\n- Professional segments in the “Mass Customer” wealth segment contribute the most revenue.\n- Seasonal sales spikes observed in Q3, with specific brands dominating.\n\n---\n\n## 📌 Future Improvements\n\n- Convert this Excel project into a Power BI Dashboard.\n- Use Python/Pandas to automate CLV calculations.\n\n---\n\n## 📧 Contact\n\nFeel free to connect:\n\n- LinkedIn: https://www.linkedin.com/in/mandeep-sharma04/\n- Email: Mandeep04sharma@gmale.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmandeep04sharma%2Fkpmg-data-analysis-using-excel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmandeep04sharma%2Fkpmg-data-analysis-using-excel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmandeep04sharma%2Fkpmg-data-analysis-using-excel/lists"}