Forecasting Decision Platform
A reproducible forecasting workflow that compares models against honest baselines and exposes uncertainty through a decision interface.
- 2026
- wip
- Sole developer
Project brief
Replace this brief with the real forecasting domain, dataset, and decision the user needs to make.
Problem
What future quantity matters, who uses the forecast, and what does a wrong forecast cost?
Modeling
Describe the data pipeline, feature design, time-aware validation, baseline, candidate models, and retraining strategy.
Evaluation
Add backtest results, error by segment, prediction intervals, and a clear explanation of where the model should not be trusted.
Product layer
Show how the interface turns a forecast into a decision without hiding uncertainty or model limitations.