Lavy Friedman is an accomplished data scientist with extensive experience in the field, currently serving as Lead Data Scientist at Skai since April 2020, where Lavy designed a campaign tagging workflow using GenAI and led a team to develop an Outlier Detection framework. Prior to Skai, Lavy held roles as a Junior Data Scientist and Data Analyst at Physimax from July 2014 to September 2018, contributing to injury prediction models and developing data visualization tools. Lavy's career began in the Israel Defense Forces as a Staff Sergeant, managing training and operations for multiple soldier departments from August 2009 to August 2012. Lavy holds a Master of Science in Data Science from the University of Bath and a Bachelor of Science in Statistics and Operations Research from Tel Aviv University.
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