

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 delivery included benchmark report and met our small team's needs. Clear updates and a useful handover.
Service: I will evaluate your AI assistant against real support questions
Our brief was understood from the first draft. The evaluation dataset made the whole project worthwhile.
Service: I will evaluate your AI assistant against real support questions
Seller's reply
Thank you — your brief was clear, which made the whole thing easier. Message me any time.
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.
We had a tight launch window. The work on validation report was ready for our team to review on schedule.
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.
Our brief was understood from the first draft. The benchmark report made the whole project worthwhile.
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 error analysis matched our references closely, and the final files were organised well.
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.