

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.



The forecast model matched our references closely, and the final files were organised well.
Service: I will build a sales forecasting model from your historical data
Our brief was understood from the first draft. The error analysis made the whole project worthwhile.
Service: I will evaluate your AI assistant against real support questions
Seller's reply
Thank you for the review, and for sharing your numbers afterwards — that's genuinely useful for me.
Good evaluation dataset. A couple of details needed revising, and the seller handled that feedback well.
Service: I will evaluate your AI assistant against real support questions
Seller's reply
Thank you for the review, and for sharing your numbers afterwards — that's genuinely useful for me.
Really pleased with the forecast model. We could put the delivery to use without another meeting.
Service: I will build a sales forecasting model from your historical data
Seller's reply
Thanks! Glad the team picked it up so quickly, that's always the best sign.
This was our first time outsourcing this work. The benchmark report and the patient explanations made it easy.
Service: I will evaluate your AI assistant against real support questions
Seller's reply
Thanks, it was a pleasure. Still around if anything comes up.
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