Henry Heberle
Data Scientist
Cologne, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolHenry Heberle is a Data Scientist and PhD-trained computer scientist with 10+ years of industry experience and a 15+ year track record applying machine learning, statistics, feature selection, and visualization across domains from social and biological networks to crop science. He specializes in visual analytics and human-centered design, building explainable AI pipelines and interactive visualizations that help end users make cost-saving, evidence-driven decisions. At Bayer he has translated field-trial and pharmaceutical data into actionable insights through visualization engineering and XAI, and earlier built production-grade web tools (React/D3) that improved UX in education and customer queue management. His research background includes publishing in high-impact journals and delivering open interactive systems during a Dalhousie exchange, demonstrating an ability to move academic methods into practical tools. A creative problem solver and effective communicator, he blends technical depth with UX sensitivity—he also paints oil and practices watercolor, a habit he credits for sharpening observational skills useful in data storytelling.
10 years of coding experience
10 years of employment as a software developer
University of São Paulo
Portuguese, English, German
Github Skills (122)
ruby10
double10
ruby-on-rails10
javascript10
html10
venn10
nodejs10
feature-selection10
css10
cross-validation10
markdown9
validation9
knowledge-graph9
clojure9
trello9
Programming languages (8)
Github contributions (5)
heberleh/interactivenn
Aug 2017 - Jun 2022
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
Contributions:2 reviews, 31 commits, 7 PRs in 4 years 10 months
diagramsweb-basedvenn
heberleh/cellnetvis
Aug 2017 - May 2019
Contributions:17 commits, 17 pushes, 1 branch in 1 year 8 months
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