Budget vs. actual expense analysis tool with variance tracking, trend visualization, and Holt-Winters exponential smoothing for 3-month expense forecasting.
Financial planning & analysis (FP&A) tool that compares budget allocations against actual expenses over a 12-month period, calculates month-over-month variance, and uses Holt-Winters exponential smoothing to forecast the next 3 months of expenses. Built for finance teams doing monthly close and forward-looking budget projections.
- Variance Analysis β Calculates budget vs. actual differences per month with trend tracking
- Variance Change Tracking β Month-over-month delta in variance to spot accelerating over/underspends
- Trend Visualization β Budget vs. actual expense line chart for visual pattern recognition
- Expense Forecasting β Holt-Winters additive trend model projecting 3 months forward
- Configurable Parameters β Smoothing level (Ξ±=0.8) and trend (Ξ²=0.2) for forecast tuning
| Component | Technology |
|---|---|
| Language | Python 3.9+ |
| Forecasting | statsmodels (Holt-Winters Exponential Smoothing) |
| Analytics | pandas, NumPy |
| Visualization | Matplotlib |
git clone https://github.com/RHarmit/Financial-Variance-Analysis-Forecasting-Using-Python.git
cd Financial-Variance-Analysis-Forecasting-Using-Python
pip install pandas numpy matplotlib statsmodels
python "Financial Analysis.PY"