

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.



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
Appreciate it. Happy to help with the next stage whenever you're ready.
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
The evaluation dataset 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
Thank you — your brief was clear, which made the whole thing easier. Message me any time.
Really pleased with the error analysis. We could put the delivery to use without another meeting.
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.
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
This was our first time outsourcing this work. The forecast model and the patient explanations made it easy.
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.