

Practical machine learning, forecasting and AI evaluation
I help product teams decide whether a model is useful for their actual workflow. That might mean an evaluation set for a support assistant or a forecast with honest error bounds. You receive reproducible notebooks, documented assumptions and a results walkthrough, including the cases where the approach does not work well.



Our brief was understood from the first draft. The validation report made the whole project worthwhile.
Service: I will build a sales forecasting model from your historical data
Seller's reply
Thank you — your brief was clear, which made the whole thing easier. Message me any time.
The validation report matched our references closely, and the final files were organised well.
Service: I will build a sales forecasting model from your historical data
The delivery included evaluation dataset and met our small team's needs. Clear updates and a useful handover.
Service: I will evaluate your AI assistant against real support questions
The delivery included forecast model and met our small team's needs. Clear updates and a useful handover.
Service: I will build a sales forecasting model from your historical data
Our team is happy with the benchmark report. The explanation at handover was especially helpful.
Service: I will evaluate your AI assistant against real support questions
Seller's reply
Thanks! Glad the team picked it up so quickly, that's always the best sign.
The delivery included data cleaning and met our small team's needs. Clear updates and a useful handover.
Service: I will build a sales forecasting model from your historical data