Daniel Hewitt

Senior Data Scientist

England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Daniel Hewitt is a Senior Data Scientist and UK-based contractor who translates a PhD in computational chemistry into high-impact ML solutions for marketing and materials discovery. Over four years of research and industry experience he has built production-ready pipelines and distributed training systems (Ray/Anyscale), improved campaign response by 15%, and architected in-house data platforms that saved his employer millions. He combines strong Python engineering (pandas, numpy, plotly), ML expertise (scikit-learn, XGBoost, TensorFlow/PyTorch) and SQL/Git best practices with hands-on optimization for memory and inference speed. Comfortable mentoring juniors and bridging ML, MLE and data engineering, he has a track record of turning academic simulation workflows into transferable, commercial analytics. A less obvious strength is his domain fluency in computational materials screening, giving him a rare ability to apply scientific modelling rigor to business problems.
code4 years of coding experience
job1 year of employment as a software developer
bookUniversity College London

Programming languages (1)

Python

Github contributions (4)

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d4n-hewitt/d4n-hewitt

Dec 2021 - May 2022

Contributions:33 commits, 41 pushes, 1 branch in 4 months
d4n-hewitt/supernova

Apr 2025 - Aug 2025

Contributions:28 pushes, 1 branch in 4 months
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