

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.



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
This was our first time outsourcing this work. The evaluation dataset and the patient explanations made it easy.
Service: I will evaluate your AI assistant against real support questions
Really pleased with the data cleaning. We could put the delivery to use without another meeting.
Service: I will build a sales forecasting model from your historical data
Really pleased with the evaluation dataset. 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.
Our team is happy with the evaluation dataset. The explanation at handover was especially helpful.
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 data cleaning 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.