Helber Dussan
Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolHelber Dussan is a data scientist and physicist with 11 years of experience applying mathematical modeling, machine learning, and scientific computing to problems spanning nuclear systems to commercial analytics. He combines deep domain expertise in nuclear and quantum many-body physics with production-focused skills in Python, C++, and C#, delivering predictive models and simulations used in industry settings. Currently splitting time between Nestlé Purina North America and Riventec, he translates complex physical models into scalable data-driven solutions for real-world decision-making. Known for bridging research-grade simulation techniques with practical data mining workflows, he brings a rare mix of theoretical rigor and applied engineering. Based in the United States, he leverages his PhD-level training to tackle dense-data challenges where physics-informed approaches improve model fidelity.
11 years of coding experience
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Universidad Nacional de ColombiaDoctor of Philosophy (PhD), Nuclear Physics, Doctor of Philosophy (PhD), Nuclear Physics at Indiana University Bloomington
Spanish, Portuguese, EnglishGithub contributions (4)
hdussan/asymmetric_fusion
Mar 2015 - May 2015
Contributions:16 commits, 18 pushes, 9 issues in 2 months
hdussan/orbit
Mar 2015 - Apr 2015
Contributions:10 pushes, 1 branch, 2 issues in 16 days
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