Paul Morris
Data Scientist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolPaul Morris is a data scientist with a decade of experience who leverages a DPhil in astrophysics to translate complex data into production-grade ML solutions. He has a track record at AUTO1 of forecasting car selling pace to optimise inventory, running A/B experiments and deploying models via Jenkins, and now contributes to data products at Volue. His research background at DESY involved analysing 30TB of simulation data, building reusable Python packages, and winning massive compute allocations—skills that underpin his rigorous approach to scalable modelling and reproducible pipelines. Comfortable across the full data lifecycle, he pairs statistical rigour with business-minded storytelling through dashboards that drive decisions. Notably, his scientific work improved time-series classification by over 30%, highlighting an ability to transfer cutting-edge methods into industry impact.
10 years of coding experience
6 years of employment as a software developer
DPhil, Astrophysics, DPhil, Astrophysics at University of OxfordMPhys, Physics and Astronomy, 1, MPhys, Physics and Astronomy, 1 at Durham University
Github Skills (14)
aida10
cms10
data-acquisition10
trigger10
simulation8
telescope7
django6
image-processing6
pixel5
python5
computer-vision5
data-analysis4
beam3
foundation1
Programming languages (3)
Github contributions (5)
schuetzepaul/MBItools
Dec 2017 - Jun 2024
Contributions:20 pushes, 1 branch in 6 years 6 months
schuetzepaul/eudaq
Jul 2016 - Sep 2021
eudaq Data Acquisition Framework
Contributions:4 pushes, 8 branches in 5 years 3 months
data-acquisitioneudaqacquisition
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