

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 error analysis and met our small team's needs. Clear updates and a useful handover.
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.
We had a tight launch window. The work on error analysis was ready for our team to review on schedule.
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.
Really pleased with the benchmark report. We could put the delivery to use without another meeting.
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 validation report 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
Seller's reply
Thank you for the review, and for sharing your numbers afterwards — that's genuinely useful for me.
The evaluation dataset fit our brief. I would leave more time for the final review on our next project.
Service: I will evaluate your AI assistant against real support questions
Really pleased with the benchmark report. We could put the delivery to use without another meeting.
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.