Paul Naidoo is a Senior Data Scientist based in Glasgow with seven years of experience turning large, noisy datasets into actionable insights and production-ready tooling. Trained as a hadron physicist, he combines rigorous experimental analysis—isolating small signals from petabytes of data—with practical software engineering skills in Python, C++, containerization and reproducible workflows. He has moved from detector R&D and PhD-grade analysis at the University of Glasgow into applied data science roles, converting research code into flexible back-ends and establishing version-controlled, containerised development environments. At EOLAS Insight he now applies that mix of domain rigor and engineering pragmatism to deliver analytics that scale for real-world problems. Colleagues know him for rapid learning across languages and frameworks, a bias for building reusable tools, and a knack for translating complex physics-style problems into clean, maintainable software.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Physics, First Class, Bachelor of Science - BS, Physics, First Class at University of Glasgow
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