Samuel Hinton

Senior Data Scientist

Queensland, Australia
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Summary

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Senior
🎓
Top School
Samuel Hinton is a Senior Data Scientist with 12 years of experience blending software engineering, machine learning and astrophysics to solve high-impact, real-world problems. He builds production ML pipelines and MLOps for energy markets and battery asset optimisation, while previously creating classifiers and large-scale simulations in a PhD in Astrophysics. Comfortable across the stack, he has a software engineering foundation from enterprise BI and web apps through to scalable data engineering and automated model deployment. He also teaches applied statistics and Python data workflows, translating complex methodologies into clear, reproducible courses and materials. Samuel’s work habit—writing code daily since his teens—means he pairs rigorous Bayesian modelling and simulation experience with pragmatic, production-focused delivery. Based in Queensland, Australia, he brings a rare mix of astrophysical modelling depth and commercial data-science impact.
code12 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD Astrophysics Bayesian Modelling Machine Learning, Doctor of Philosophy - PhD Astrophysics Bayesian Modelling Machine Learning at The University of Queensland
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Github Skills (200)

dataflow10
testing10
hyperparameter-optimization10
automation10
automl10
data-cleaning10
schema10
data-validation10
llm-inference10
markup-language10
schema-validation10
data-science10
finance10
visualization10
llm10

Programming languages (12)

TypeScriptC#JavaC++CRustJavaScriptGo

Github contributions (5)

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Samreay/BinningIsSinning

Nov 2020 - Dec 2020

Contributions:13 commits in 15 days
dessn/Pippin

Dec 2018 - Dec 2020

Pipeline for photometric SN analysis
Contributions:3 releases, 2447 commits, 5 PRs in 1 year 11 months
pythonpipelinephotometric
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Samuel Hinton - Senior Data Scientist