Summary
Ceren Tarar is a Machine Learning Engineer with a decade of experience building AI and data-driven solutions across industry and research, currently leading ML work at DHL Supply Chain’s R&D and Innovation Lab. She blends hands-on engineering roles in logistics and enterprise AI with academic research roots as a PhD student in Computer Science at the University of Cambridge and M.Sc. training in Data Science. Her background spans applied R&D, translational medicine research, and product-focused AI engineering at startups and corporates, giving her a knack for moving models from prototype to production in regulated settings. Notably, she has navigated roles that bridge mechatronics, bioinformatics research labs, and large-scale supply chain systems—an uncommon cross-domain perspective. Based in Istanbul, she combines rigorous research thinking with practical deployment experience to solve complex, real-world ML problems.
10 years of coding experience
8 years of employment as a software developer
Master of Science - M.Sc. Data Science, Master of Science - M.Sc. Data Science at Sabanci University
Master of Science - M.Sc. Graduate School of Sciences and Engineering, Master of Science - M.Sc. Graduate School of Sciences and Engineering at Koç University
B.Sc. Mechatronics Engineering, B.Sc. Mechatronics Engineering at Yıldız Teknik Üniversitesi
İngilizce, Turkish, German