Andrew Davies is a Lead Football Data Engineer with 11 years' experience applying advanced mathematics and machine learning to real-time transport and sports analytics. He holds a PhD in Mathematics and has progressed from algorithmic roles at INRIX—where he led real-time traffic speed prediction and trajectory projects—to senior data science and data engineering roles at Netacea and Manchester United. He combines production-focused skills (Docker, AWS, Flink-based feature stores) with strong mentorship experience, helping teams adopt software engineering best practices. At Manchester United he moved from ML scientist to leading football data engineering, translating complex models into scalable match-day and performance systems. Known to colleagues by GitHub handles tied to both MUFC and his former employers, he blends research rigour with pragmatic engineering to deliver low-latency, high-impact data products.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at The University of Manchester
Master's Degree, Mathematics, First class, Master's Degree, Mathematics, First class at University of Warwick
Contributions:95 commits, 158 pushes, 1 branch in 11 months
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