Samuel Hinton
Staff Data Scientist
Queensland, Australia
Summary
👤
Senior🎓
Top SchoolSamuel 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.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Bayesian Modelling, Machine Learning, Doctor of Philosophy - PhD, Astrophysics, Bayesian Modelling, Machine Learning at The University of Queensland
Github Skills (200)
testing10
hyperparameter-optimization10
automation10
data-cleaning10
schema10
data-validation10
data-science10
finance10
github-projects10
llm10
figure10
plotly-dash10
python10
pandas-dataframe10
charting10
Programming languages (13)
Github contributions (5)
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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