

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
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 — your brief was clear, which made the whole thing easier. Message me any time.
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
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
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
The forecast model matched our references closely, and the final files were organised well.
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.