Mark Dimond is an independent transport data scientist with 11 years of experience blending transport planning, data science, and economics across the UK and low- and middle-income countries. He has led international portfolios—most notably as Central Asia market lead at Integrated Transport Planning—delivering projects from urban transport strategy to low-carbon policy modelling that prioritised green investments across multiple nations. His PhD in Computer Science underpins work on GPS-based route prediction and journey detection, giving him a rare mix of rigorous research methods and practical modelling skills. Comfortable moving between consultancy and R&D, he designs data tools and modelling workflows that turn national datasets into actionable transport policy recommendations. An early career background in GIS and enterprise database administration means he also brings hands-on technical competence with ArcGIS and Oracle to complex transport data programmes.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Nottingham
BSc, Computer Science, Human Geography, BSc, Computer Science, Human Geography at Keele University
Contributions:13 pushes, 3 branches, 1 comment in 6 months
editingweb-basedgtfs
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Mark Dimond - Independent Transport Data Scientist