Diego Tapias
Data Scientist And Machine Learning Analyst
Göttingen, Lower Saxony, Germany
Summary
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Senior🎓
Top SchoolDiego Tapias is a data scientist and machine learning analyst with 11 years of experience bridging statistical physics and applied analytics, currently driving ML initiatives at Universitätsmedizin Göttingen. He holds a PhD in Statistical Physics and leverages deep quantitative training to build robust models, simulations, and custom tools in Python and Julia for research and production use. Diego's toolkit includes Pandas, scikit-learn, Flask, Julia's DataFrames and Genie, plus SQL, Docker and Git, enabling end-to-end workflows from data cleaning to deployment. His background in traffic-data analysis and academic research gives him a knack for turning complex noisy systems into actionable insights, and he routinely supports algorithm implementation and research projects as freelance work. Based in Göttingen, he combines academic rigor with practical engineering to deliver reproducible, interpretable solutions for scientific and operational problems.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Universidad Nacional de Colombia (UNAL)Universidad Nacional Autónoma de México (UNAM)The University of Göttingen
Github Skills (60)
distributions9
billiards9
julia9
dimensions9
data-structures8
physics8
statistics8
probability8
geometry8
ode7
polynomials7
ordinary-differential-equations7
pde7
partial-differential-equations7
simulations7
Programming languages (1)
Github contributions (5)
dapias/BilliardwithHardDisks
Feb 2015 - Apr 2016
Contributions:252 commits, 3 PRs, 103 pushes in 1 year 2 months
dapias/ContactFlowsTaylor
Oct 2015 - Jan 2016
Contributions:84 commits, 43 pushes, 2 branches in 3 months
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