Summary
Oz Kilic is a Machine Learning Engineer based in Ottawa with eight years of experience applying data science and research to improve demand forecasting at Kinaxis. Trained with two master's degrees and doctoral studies in information systems, he blends rigorous academic research—evidenced by multiple peer-reviewed publications—with hands-on ML engineering using Python, R, PyTorch and scikit-learn. His background spans industry research internships (Kinaxis, BlackBerry, Mitacs) and university roles, giving him a practical edge in translating novel algorithms into production-ready forecasting systems. A data enthusiast at heart, Oz pairs technical depth with a design-minded communication background, which helps him bridge stakeholder needs and model interpretability. He is particularly skilled at combining computational social science insights with scalable ML pipelines to tackle real-world demand variability.
8 years of coding experience
1 year of employment as a software developer
81.41/100, 81.41/100 at Ankara Tevfik Fikret Private High School / Lycée Tevfik Fikret d'Ankara
Master of Computer Science Computer Science, Master of Computer Science Computer Science at Carleton University
B.A. Communication and Design, B.A. Communication and Design at Bilkent University
Doctor of Philosophy - PhD Information Systems, Doctor of Philosophy - PhD Information Systems at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Turkish, English, French