Shmuel Liebeskind
About Shmuel Liebeskind
Shmuel Liebeskind is an AI Software Engineer and Team Lead at Triple Whale in Jerusalem, where he has worked since 2022. He has a background in data science and software engineering, with experience in developing advanced data analysis tools and optimizing advertising strategies.
Work at Triple Whale
Shmuel Liebeskind has been employed at Triple Whale since 2021, serving as a Senior Software Engineer and currently as an AI Software Engineer and Team Lead since 2022. His role involves establishing and leading AI and Data Science teams that focus on integrating advanced data analysis tools in the cloud. He has developed systems for price optimization, summarization, and forecasting, contributing significantly to the company's technological advancements. Additionally, he is involved in auto media buying processes aimed at optimizing advertising strategies.
Education and Expertise
Shmuel Liebeskind studied at Lev Academic Center (JCT), where he earned a Bachelor of Applied Science in Computer Science from 2012 to 2015. He furthered his education by obtaining a Master of Science in Data Mining from the same institution between 2019 and 2021. His academic background provides a strong foundation for his expertise in AI and data science, particularly in the context of e-commerce and ad-tech industries.
Background
Prior to his current role, Shmuel Liebeskind worked as a Freelance Web Developer in the Tel Aviv Area from 2009 to 2015. He also served as a Data Scientist Researcher at Lev Academic Center (JCT) from 2017 to 2021. In this position, he utilized Google's cloud AI tools for various applications, focusing on projects such as anomaly detection and product recommendation systems.
Achievements
Throughout his career, Shmuel Liebeskind has implemented technological and algorithmic solutions for various tasks, including aspect sentiment similarity and user segmentation. He has contributed to projects involving multi-touch attribution and churn analysis, enhancing customer journey analysis. His work in AI initiatives has significantly impacted the efficiency and effectiveness of data-driven strategies in the organizations he has been part of.