Dor Meir is a data scientist with nine years of experience blending production ML, computer vision and data engineering, currently building models at Cato Networks from Tel Aviv. He has a track record of delivering pragmatic automationโsaving hundreds of work-hours with demand forecasting and lead-scoring systemsโand has been recognized with internal and industry awards. Comfortable across the stack, he built auto-ML products, NLP clustering tools and CV validators used in testing and fraud detection, and earlier ran large-scale Linux VM fleets and DR plans in military intelligence. He mentors and evaluates emerging talent as a data science interviewer at Israel Tech Challenge and contributes practical tooling and scripts publicly. Trained in economics and public policy (MA) as well as formal ML certifications, he combines quantitative rigor with product-minded engineering. Notably, he prioritizes data quality and simple models over complexity, turning messy real-world datasets into reliable production insights.
9 years of coding experience
12 years of employment as a software developer
Advanced Math studies for bagrut Mathematics, Advanced Math studies for bagrut Mathematics at Bar-Ilan University
John Bryce
High School Diploma, High School Diploma at ohel shem, Ramat Gan
Certification studies Data Science Machine Learning Deep Learning, Certification studies Data Science Machine Learning Deep Learning at Israel Tech Challenge <โitc>
Master of Arts - MA Economics and Public Policy, Master of Arts - MA Economics and Public Policy at The Hebrew University of Jerusalem
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