Péter Sólymos is a Senior Data Scientist with 18 years of applied analytics experience and a 25-year technical background spanning biology, environmental science, and software development. He builds end-to-end data pipelines and predictive analytics solutions that translate ecological and operational data into evidence-based decisions, most recently driving efficiency improvements in the utilities sector at E Source. Péter has led statistical methodology development, high-performance and cloud computing projects, and authored widely used scientific software alongside more than 80 peer-reviewed publications. He bridges academia and practice as an adjunct professor and former senior statistical ecologist, frequently collaborating with government and industry stakeholders. A PhD-trained scientist and self-described “tech-bio-nerd,” he combines domain expertise in biodiversity and conservation with pragmatic ML and engineering to deliver measurable impact.
18 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Biology/Biological Sciences, General, Doctor of Philosophy (PhD), Biology/Biological Sciences, General at University of Debrecen
Contributions:1107 commits, 560 pushes in 2 years 6 months
data-science
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