Summary
Andrew Hilditch is a Data Analyst with a PhD in Mathematics of real-world systems and eight years of experience applying data science to complex networks, most notably the UK railway network in partnership with Thales GTS. He combines rigorous mathematical modelling, network theory and ensemble methods like random forest regression with practical skills in data cleaning, processing and fine-tuning large language models. After research roles at Warwick and Manchester Metropolitan University, he now applies those techniques in the UK Civil Service to turn messy customer and operational data into actionable insight. Known for bridging theoretical methods and production-focused analytics, he brings a research mindset to solving real-world operational problems from Stockport.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Pass, Doctor of Philosophy - PhD, Mathematics, Pass at University of Warwick
BSc, Mathematics, First class, BSc, Mathematics, First class at The Manchester Metropolitan University