Yuval Foox
About Yuval Foox
Yuval Foox is the Head of Machine Learning & Data Science Guild at AppsFlyer, where he has worked since 2023. He holds a Master of Science in Industrial Engineering from Tel Aviv University and has extensive experience in data science and machine learning across various companies.
Current Role at AppsFlyer
Yuval Foox currently serves as the Head of Machine Learning & Data Science Guild at AppsFlyer, a position he has held since 2023. He previously worked as a Machine Learning & Data Science Manager at the same company, starting in 2021. His role involves overseeing the development and implementation of machine learning strategies and fostering collaboration within the data science community at AppsFlyer. The company is based in Tel Aviv, Israel, and operates in a hybrid work environment.
Educational Background
Yuval Foox studied at Tel Aviv University, where he earned a Master of Science (MSc) in Industrial Engineering from 2016 to 2020. He also completed a Bachelor of Science (BSc) in Industrial Engineering & Management from 2010 to 2014. His education has provided him with a strong foundation in engineering principles and data analysis, which supports his work in machine learning and data science.
Professional Experience
Yuval Foox has a diverse professional background in data science and machine learning. He worked at Wix.com as a Data Scientist from 2014 to 2015 and later held positions at various companies, including Argus Cyber Security Ltd. as a Senior Data Scientist from 2020 to 2021, and WeWork as a Data Science Lead from 2019 to 2020. His experience spans multiple industries, contributing to his expertise in the data science project life cycle.
Military Service Background
Yuval Foox served in the Israel Defense Forces, where he held several positions, including Ship Commander and Deputy Commander on a Missiles ship. His military service included training roles, such as Training School Commander at the Navy Academy. This experience has likely contributed to his leadership skills and ability to work in high-pressure environments.
Expertise in Machine Learning Techniques
Yuval Foox possesses expertise in various machine learning techniques, including recommender systems, classification, clustering methods, regressions, tree models, and anomaly detection. He has extensive experience in the data science project life cycle, covering aspects such as feature selection, data preparation, evaluation, and implementation. His knowledge supports his passion for innovation in the field.