Summary
Ömer Eker is a Senior Data Scientist with over a decade of experience in data-driven prognostics, predictive maintenance and applied machine learning across automotive, aerospace and industrial domains. He pairs a PhD in aerospace engineering with hands-on expertise in Python to deliver production-focused solutions—leading Kavaken’s predictive maintenance module and consulting on autonomous vehicle projects. His background spans research-grade hybrid prognostic modeling, field data collection and commercial product & international business development, having appointed 20+ distributors and managed multimillion-pound industry-funded projects. Ömer publishes academically (a book, eight journal papers and numerous conference papers) yet consistently translates research into deployable systems for customers like Borusan EnBW and Eksim. He’s comfortable bridging R&D, project leadership and customer-facing roles, bringing both technical depth and market-building experience. A less obvious strength is his track record of building reproducible experimental rigs and benchmark datasets that advanced prognostics methodology beyond typical black‑box approaches.
7 years of coding experience
11 years of employment as a software developer
Integrated BSc & MSc, Mathematics, Integrated BSc & MSc, Mathematics at Marmara Üniversitesi
Doctor of Philosophy (Ph.D.), School of Aerospace, Transport and Manufacturing, Doctor of Philosophy (Ph.D.), School of Aerospace, Transport and Manufacturing at Cranfield University
English, Turkish