Yiftach Schlamm
About Yiftach Schlamm
Yiftach Schlamm is the Data & Machine Learning Manager (Cloud Detection) at SentinelOne, with over a decade of experience in Big Data and ML/AI platforms.
Current Position at SentinelOne
Yiftach Schlamm is currently the Data & Machine Learning Manager (Cloud Detection) at SentinelOne. He oversees the development and implementation of machine learning models for cloud detection purposes. His role involves managing a team that focuses on advanced data analytics and real-time detection methodologies.
Previous Roles in Big Data Analytics
Yiftach Schlamm has extensive experience in big data analytics. He served as the Big Data Analytics Group Manager at SentinelOne from 2019 to 2020. Before that, he spent two years as the Big Data Analytics Platform Manager at PayPal, and he managed big data development teams at Citi Innovation LAB from 2012 to 2017. His roles in these companies were centered around leveraging large datasets to drive business insights and innovations.
Technical Leadership at 3i-Mind and Kodak/Creo
Yiftach Schlamm's career also includes substantial technical leadership roles. At 3i-Mind, he was a Tech Lead and Team Leader from 2008 to 2012. At Kodak/Creo, he started as a Developer in 2004 and progressed to become the Development Team Leader, a position he held until 2008. These roles focused on leading development teams and driving technological advancements in their respective companies.
Educational Background
Yiftach Schlamm holds an Executive MBA from The Interdisciplinary Center, completed between 2010 and 2012. He also has a Bachelor of Science degree in Computer Software Engineering from Ben-Gurion University of the Negev, completed in 2004. His academic background laid a strong foundation for his extensive career in data analytics and machine learning.
Expertise in Machine Learning and Big Data
Yiftach Schlamm has hands-on experience with real-time analytics using Spark and specializes in graph computing and embedding techniques. He has developed recommendation systems applying machine learning models like XGBoost and Deep Learning, and he possesses deep knowledge in text analysis through NLP and Deep Learning methods. His expertise spans over a decade, integrating big data with ML/AI solutions.