Hayden Rampadarath is a Lead Data Scientist based in the UK with 11 years of experience applying ML and data engineering to automotive telematics and insurance use cases. He blends a strong research background—a PhD in Radio Astronomy and postdoctoral work on SKA imaging pipelines—with hands-on production delivery of end-to-end ML systems for claims fraud, pricing, battery health and accident detection. Proficient in Python and R, he has taken models from R&D through DEV/QA/UAT to production and built user-facing analytics with R Shiny. Hayden’s career bridges academic rigor and product focus, evidenced by techniques like fringe-tracking developed during his PhD and later translated into robust signal- and time-series-based algorithms in industry. Comfortable presenting technical work publicly, he thrives on turning complex, noisy telemetry into actionable business value.
11 years of coding experience
10 years of employment as a software developer
Master's degree by Research Astrophysics, Master's degree by Research Astrophysics at The University of Manchester
Master of Philosophy (MPhil) Physics (Astronomy Project), Master of Philosophy (MPhil) Physics (Astronomy Project) at University of the West Indies, Trinidad
Doctor of Philosophy (PhD) Astronomy (VLBI), Doctor of Philosophy (PhD) Astronomy (VLBI) at ICRAR, Curtin University
Contributions:17 commits, 15 pushes, 1 branch in 9 days
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