Dror Atariah is a Berlin-based data scientist with 11 years of experience translating mathematical rigor into production-ready analytics and ML solutions across industries from automotive to health and e-commerce. With a PhD in computational geometry and early contributions to the CGAL library, he brings strong theoretical foundations to practical problems like large-scale NLP pipelines, automated content tagging, and marketing attribution. He is proficient in Python and the data stack, advocates reproducibility through Docker, and has led teams and data product strategy while enabling data governance and quality controls. Comfortable working end-to-end—from ETL and visualization to APIs and DevOps—he blends research-grade thinking with a bias for shipping impactful prototypes. An avid learner and communicator, he maintains a technical blog and GitHub demonstrating both applied projects and deeper geometric insights.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Applied Science (BASc), Mathematics, Magna Cum Laude, Bachelor of Applied Science (BASc), Mathematics, Magna Cum Laude at Tel Aviv University
Doctor of Philosophy (Ph.D.), Computational Geometry, Doctor of Philosophy (Ph.D.), Computational Geometry at Freie Universität Berlin
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