Summary
Nevo Itzhak is a Senior Data Scientist (PhD) based in Tel Aviv with eight years of experience building end-to-end production ML systems that turn complex temporal and longitudinal data into actionable predictions. He completed a PhD and M.Sc. in Machine Learning at Ben-Gurion University, where he led research producing eight published papers and reviewed over 50 submissions for top AI/ML conferences. Nevo has blended academic rigor with industry impact—driving customer-call prediction models for telecom at Amdocs and now applying advanced ML at FertilAI. He also designed and taught a large undergraduate ML course, mentoring students to publication-quality research, and supervised projects that yielded three conference papers. Comfortable with the full stack from data engineering to production deployment, he combines strong temporal data-mining expertise with a track record of moving innovations from lab prototypes into real-world systems. An under-the-radar strength is his extensive peer-review experience, reflecting deep visibility into emerging ML methods and evaluation standards.
8 years of coding experience
7 years of employment as a software developer
Software Engineering (15 credit points), High School, Software Engineering (15 credit points), High School at Mekif Omer High School
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Ben-Gurion University of the Negev
English, Hebrew