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 (20)
cms10
aida10
trigger10
backbonejs10
cockpit10
data-acquisition10
edtech10
telescope8
image-processing7
image7
pixel7
computer-vision7
python6
django6
astronomy6
Programming languages (3)
Github contributions (5)
schuetzepaul/cmstkmodlab
Apr 2021 - Apr 2025
Contributions:96 pushes, 38 branches in 4 years
schuetzepaul/MBItools
Dec 2017 - Jun 2024
Contributions:20 pushes, 1 branch in 6 years 6 months
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