Weekend Machine Learning Trainer Needed

I’m putting together a series of live, hands-on weekend sessions that dive deep into the machine-learning pipeline behind my open-source churn-risk-service (see the repo here: https://github.com/rounak251/churn-risk-service). I’m looking for someone who is already operating at an expert level in Machine Learning and can translate that expertise into clear, engaging instruction.

Across a few consecutive Saturdays or Sundays, you’ll walk participants through the codebase, explain the modelling choices, tune the algorithms in real time, and answer advanced questions on feature engineering, evaluation metrics, and deployment best practices. Think of it as pair-programming meets master-class: highly practical, conversational, and immediately applicable to production-grade systems.

If you have past work that showcases similar teaching engagements or complex ML implementations, please include those links or attachments in your proposal—the more concrete the better, since that’s the main factor I’ll use to choose the right trainer.

Sessions take place exclusively on weekends; everything else (format, duration, tools such as Jupyter, scikit-learn, Docker, or any MLOps stack you prefer) we can finalise together once you’re on board.