Christian Donnerer is a Senior Data Scientist based in London with eight years of experience building end-to-end machine learning solutions across consultancy and healthcare analytics. He progressed from physics research (MPhys, PhD) into applied ML roles, moving through IQVIA and Faculty where he now designs production-ready models and data products. Comfortable with both research-grade modelling and engineering constraints, he bridges complex statistical ideas and practical deployments. His background in physics and early geophysics internship give him a knack for framing noisy, real-world problems quantitatively and creatively. Colleagues would describe him as technically rigorous but approachable—his GitHub bio’s self-deprecating humor hints at a pragmatic, no-nonsense coder who doesn’t take himself too seriously.
8 years of coding experience
3 years of employment as a software developer
MPhys, Physics, MPhys, Physics at The University of Edinburgh
Contributions:21 commits, 80 PRs, 233 pushes in 2 years
command-line-toolpythonplottingcommand-linecli
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