Summary
Cormac Butler is a data scientist with eight years’ experience building and deploying production ML and data engineering solutions, currently driving revenue-focused models at CarTrawler. With a foundation in physics (TCD) and an MSc in Data & Computational Science (UCD), he blends rigorous quantitative thinking with practical MLOps skills—CI/CD, Docker, automated testing and scalable deployments. His background spans fraud prediction and full-stack data science at EY through to research roles in machine learning and computational condensed matter, giving him a strong experimental-to-production pathway. Comfortable translating user requirements into robust analytics, he excels at end-to-end pipelines in Python and SQL and favors reproducible, testable systems. Outside of work he maintains an active GitHub and a keen interest in tracking emerging ML and analytics trends, often applying research instincts to business problems.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Trinity College Dublin
Leaving Certificate, Leaving Certificate at St Mac Daras
Master's degree Data and Computational Science, Master's degree Data and Computational Science at University College Dublin