

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 error analysis and the patient explanations made it easy.
Service: I will evaluate your AI assistant against real support questions
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
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
We had a tight launch window. The work on benchmark report 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.
Our team is happy with the data cleaning. The explanation at handover was especially helpful.
Service: I will build a sales forecasting model from your historical data
We had a tight launch window. The work on evaluation dataset was ready for our team to review on schedule.
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.