Michael Hodge is a Lead Data Scientist based in Cardiff with a decade of experience building data platforms and ML lifecycle capability across government and national statistics bodies. He has led MLOps and data engineering efforts at the Ministry of Justice—implementing model registries, feature stores and monitoring—and previously advanced geospatial, computer vision and NLP projects at the Office for National Statistics. His career blends hands-on cloud and automation (AWS, Terraform, GitHub Actions) with regulatory and governance experience from a secondment as Head of Data and Automation at the Office for Statistical Regulation. Trained as a geoscientist (PhD Cardiff, MSc Bristol), he brings a quantitative, research-led approach to production ML and has applied remote sensing and UAV-derived 3D modelling in fieldwork, a less obvious thread that informs his spatial and modelling intuition.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Geology/Earth Science General, Doctor of Philosophy - PhD Geology/Earth Science General at Cardiff University / Prifysgol Caerdydd
Architecture, Architecture at University of the West of England
Master of Science (MSci) Environmental Geoscience, Master of Science (MSci) Environmental Geoscience at University of Bristol
Scarp PARameTer Algorithm (SPARTA): A semi-automated algorithm to calculate fault scarp morphological parameters from profiles extracted from a digital elevation model
Contributions:1 release, 2 PRs, 26 pushes in 4 years
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