Portfolio / Case study 04
Revenue forecasting model
A Python and Pandas model that projects revenue from sales history and shows a likely range rather than a single guess.
Project walkthrough
See how the work was put together
$ start project "Revenue forecasting model"
✓ Brief agreed with Forecasting project
✓ Cleaned and grouped historical sales by month
✓ Tested seasonal and trend-based forecasting methods
✓ Presented a base case with low and high ranges
→ Review with the client…
● Delivered and handed over
The project
Problem, approach and result
The challenge
Planning relied on last year plus a percentage. Seasonal swings and one-off months made that number unreliable.
What I did
- Cleaned and grouped historical sales by month
- Tested seasonal and trend-based forecasting methods
- Presented a base case with low and high ranges
The result
Budget conversations started from a realistic range, with the seasonal months called out in advance.
Gallery and links
Screens from the project
Figures are anonymised. Click an image to enlarge it.
Services used
The services behind this project
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