Alex Barnes
Senior Data Scientist
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolAlex Barnes is a Senior Data Scientist based in Lausanne with a decade of experience turning complex datasets into production-ready ML solutions across retail, finance, healthcare, and experimental physics. With a PhD in experimental nuclear physics, he blends rigorous scientific methodology and large-scale data engineering—having built models from fraud-detection neural nets to gradient-boosted classifiers for customer support routing and a bespoke grey-market risk scoring system. He is experienced in end-to-end delivery: feature engineering, model calibration, explainability with SHAP, fuzzy matching, BigQuery pipelines and dashboarding, and maintaining reproducible toolchains in git. Notably, his background in detector design and high-performance computing informs a systems-minded approach to model robustness and data quality. Reliable at the intersection of research and industry, he excels at translating domain knowledge into actionable business rules and operational ML.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at Juniata CollegePhD, Experimental Nuclear Physics, PhD, Experimental Nuclear Physics at The University of Connecticut
German, French
Github Skills (15)
simulation9
aix7
perl6
bash4
shell4
linux4
windows4
python4
bsd3
detector3
cmd3
specification3
webapp1
database1
decision-making1
Programming languages (3)
Github contributions (5)
abarnes12/kaggle
Dec 2017 - Oct 2019
Repository of my work on Kaggle datasets
Contributions:8 PRs, 10 pushes, 2 branches in 1 year 10 months
kagglepythondata-sciencemachine-learningkaggle-datasets
abarnes12/drivendata
Jan 2018 - Nov 2018
Contributions:16 pushes, 1 branch in 10 months
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