Daniel Beasley
Lead Data Scientist
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolDaniel Beasley is a Lead Data Scientist based in Amsterdam with nine years of experience turning complex mathematical ideas into production-ready machine learning solutions across e-commerce, healthcare diagnostics, and media analytics. He holds a Master's in Mathematics from VU Amsterdam and a Physics degree from the University of Waterloo, and his research on safe testing was presented at the MIT Conference on Digital Experimentation. At Vinted he’s driven Bayesian media-mix modeling and ML deployment automation; earlier roles include leading a data science team at trivago and building a 95%/95% pathogen classification pipeline at Nostics. Known for strong communication and mentorship, he blends deep theoretical rigor with pragmatic engineering—containerized deployments, CI pipelines, and scalable dashboards—while fostering collaborative team growth. A not-obvious strength: he bridges high-dimensional spectral analysis techniques and applied Bayesian experimentation, bringing uncommon statistical depth to product-focused ML.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at Vrije Universiteit Amsterdam (VU Amsterdam)Machine Learning Engineer, Machine Learning Engineer at UdacityBachelor's degree, Physics, Bachelor's degree, Physics at University of Waterloo
JapaneseProgramming languages (1)
Github contributions (5)
danielangus/leaf-classification
Mar 2017 - Apr 2017
Contributions:33 commits, 25 pushes, 1 branch in 19 days
danielangus/Train-a-Smartcab-to-Drive
Nov 2016 - Feb 2017
Contributions:9 pushes, 1 branch in 2 months
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