This project generates synthetic finance transaction data using Python. It simulates revenue and expense activity for FP&A analysis, SQL practice, and Power BI dashboards.
The script creates:
- Transaction-level finance data
- Monthly financial summary
- CSV datasets ready for analytics
- Randomized finance transactions
- Revenue and expense categorization
- Monthly profit and margin calculation
- CSV export for Power BI / SQL Server
- Python
- CSV data handling
- Random data simulation
- Basic FP&A logic
- finance_data_generator_v1.csv
- monthly_summary_v1.csv
Samuel Doumbe Commercial Finance Manager transitioning into Finance Tech & Data.