https://github.com/shogunbanik18/budgetify
End-to-End Budget Analysis enables effective budgeting through detailed analysis and strategic planning
https://github.com/shogunbanik18/budgetify
analysis data data-engineering data-exploration databricks databricks-notebooks etl etl-process python3
Last synced: 3 days ago
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End-to-End Budget Analysis enables effective budgeting through detailed analysis and strategic planning
- Host: GitHub
- URL: https://github.com/shogunbanik18/budgetify
- Owner: shogunbanik18
- Created: 2024-07-27T20:17:22.000Z (almost 2 years ago)
- Default Branch: E2E_Databricks
- Last Pushed: 2026-05-06T20:34:45.000Z (about 1 month ago)
- Last Synced: 2026-05-06T21:41:18.119Z (about 1 month ago)
- Topics: analysis, data, data-engineering, data-exploration, databricks, databricks-notebooks, etl, etl-process, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 52 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
## Your One-Stop Destination for Managing Budgets and Gaining Financial Insights
This project helps users analyze their spending, savings, and investments, allowing for more informed financial decisions.
### Business Insights Generated from the Monthly Reports
1. **Savings Rate**
2. **Recurring vs Non-Recurring**
3. **Expense Efficiency**
4. **Highest Daily Expense**
5. **Lowest Daily Expense**
6. **Weekly Expense Analysis**
7. **Unexpected Expenses**
8. **Daily Spending Variance**
9. **Opportunity Cost Analysis**
10. **Psychological Spending**
11. **Needs, Wants, and Investments**
12. **Pending Payments**
13. **1st 15 Days vs Last 15 Days**
14. **Max Expense Category**
15. **Top N Expense Categories**
16. **Weekdays vs Weekends**
17. **Category-wise Distribution by Day Type**
### Data Flow Diagram
### Updated E2E Budget Anlysis Flow :
