

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
The validation report 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.
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
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
This was our first time outsourcing this work. The validation report and the patient explanations made it easy.
Service: I will build a sales forecasting model from your historical data
We had a tight launch window. The work on forecast model was ready for our team to review on schedule.
Service: I will build a sales forecasting model from your historical data