David Payne

Background

About David Payne

Kubrick’s Machine Learning Engineers use advanced algorithms to solve business problems at scale. Pragmatic and business-focused, Kubrick consultants are experienced in Agile working environments. I use automated pipelines to integrate machine learning models into the production lifecycle. I have learned the mathematical concepts behind complex models but write industry best-practice code to deploy them efficiently.My technical training included: • Strong foundation in Python and supporting tools• Standard machine learning algorithms and the mathematics behind them• Good practice in programming and DevOps• Essential tools to deploy ML pipelines locally and in the cloud• Key business skills to effectively communicate results Our projects in Python included sentiment analysis and an end-to-end pipeline comparing multiple algorithms for churn prediction. With these skills, I can build, assess, and deploy ML models in a real-world environment. I can understand the strengths and limitations of my solutions and can explain deep concepts in simple language to engage and convince business stakeholders.