Donal Hill

Data Scientist - National Associations

London, England, United Kingdom
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Summary

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Senior
🎓
Top School
Donal Hill is a data scientist with 13–14 years of experience translating advanced machine learning and quantitative research into practical impact across academia, industry, and sport. Currently at UEFA he focuses on national associations while co-founding Plastic-i to bridge technical innovation and entrepreneurial delivery. His background includes postdoctoral research at Oxford and a Marie Curie fellowship at EPFL, underpinned by a PhD in Elementary Particle Physics, which gives him deep expertise in statistical modelling and experimental rigor. At the Swiss Data Science Center he worked on innovation projects, combining research-grade methods with product-focused deployment. He is comfortable moving between exploratory research and production analytics, and his career shows a recurring theme of turning complex scientific problems into usable, decision-grade tools. Based in London, he brings a rare mix of academic pedigree, startup hustle, and sport-data domain experience.
code14 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at University of Oxford
bookMaster of Science (MSc), Physics, Master of Science (MSc), Physics at Queen's University Belfast
languagesEnglish
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Github Skills (21)

model-fitting8
file-format7
python-modules7
probability-density7
awkward-array7
tensorflow5
deep-learning5
high-energy-physics5
simulation5
parallelization4
pandas-dataframe4
python4
deep-neural-networks3
quaternions2
numpy2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:39 pushes in 3 years 9 months
donalhill/fcc_python_tools

Sep 2020 - Jan 2021

Using uproot, awkward array and other core python packages to analyse FCCSW simulation
Contributions:121 pushes, 1 branch in 3 months
awkward-arraypythonsimulation
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