Daniel Coderre
Team Lead Data Science
Bern, Bern, Switzerland
Summary
👤
Senior🎓
Top SchoolDaniel Coderre is a Team Lead Data Science based in Bern with 12 years of experience translating complex physics-grade data expertise into production-grade machine learning systems for Swiss banking. At PostFinance he built the bank’s first ML-driven money laundering alert reduction system and replaced a commercial AI stack with an open-source platform on Kubernetes, Spark, Airflow and MLflow, delivering seven-figure annual savings. His background as a lead scientist on the XENON dark-matter experiments gives him rare experience scaling data acquisition from millivolt signals to petabytes and coordinating large international teams. He bridges business, IT and research with a practiced didactic approach, frequently presenting and running outreach and training. Comfortable across APIs, pipelines, models and web frontends inside regulated environments, he combines hands-on engineering with strategic team leadership. Colleagues benefit from his knack for turning experimental rigor into auditable, cost-saving production solutions.
12 years of coding experience
4 years of employment as a software developer
Doctor of Science, Physics, Doctor of Science, Physics at Ruhr University BochumMaster's Degree, Physics, Master's Degree, Physics at State University of New York at Albany
English, German, English, German
Github Skills (35)
raw-data10
throughput9
processor9
backend9
stream9
data-acquisition9
aerospike8
pipeline8
data-processing8
parallel8
monitor8
nosql7
react7
frontend7
stream-processing6
Programming languages (4)
Github contributions (5)
coderdj/kodiaq
Oct 2013 - Aug 2017
Contributions:1 release, 379 commits, 3 PRs in 3 years 10 months
readout
coderdj/emo
May 2015 - Dec 2018
Experimental Monitor Web Frontend
Contributions:2 releases, 174 commits, 1 PR in 3 years 7 months
reactmonitorweb-monitorfrontendfrontend-web
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