Jonathan Kalechstain

Jonathan Kalechstain is an accomplished data science and machine learning professional with extensive experience in developing algorithms and models for personalized recommendations and classification problems. Jonathan served as an Algorithm Engineer at Taboola, where responsibilities included building deep learning models and managing the full machine learning pipeline. Previous roles include Data Scientist positions at Agoda and Fiverr, where Jonathan developed algorithms for sentiment analysis and personalized experiences, contributing significantly to revenue growth. As a Formal Application Algorithms Developer at Intel Corporation, Jonathan worked on innovative solutions for speed path analysis. Most recently, Jonathan led the data science team at Perfect, overseeing a comprehensive algorithmic lifecycle, and is currently a Machine Learning Engineer at Meta. Jonathan holds a Bachelor of Science and a Master of Science in Computer Science from Technion - Israel Institute of Technology and Tel Aviv University, respectively.