Afik Bar
About Afik Bar
Afik Bar is a Machine Learning Engineer with experience at various companies, including Optimove and Pecan AI. He holds a Bachelor of Science in Data Science from Technion - Israel Institute of Technology.
Current Role at Pecan AI
Afik Bar currently serves as a Machine Learning Engineer at Pecan AI, a position he has held since 2022. In this role, he focuses on developing machine learning models and solutions to enhance data-driven decision-making processes. His expertise contributes to the company's mission of simplifying analytics for businesses.
Previous Experience at Optimove
Before joining Pecan AI, Afik Bar worked as a Machine Learning Engineer at Optimove from 2021 to 2022. During his 11-month tenure in Tel Aviv, Israel, he was involved in creating predictive models and optimizing marketing strategies through data analysis.
Teaching Assistant Role at Technion
Afik Bar served as a Teaching Assistant at Technion - Israel Institute of Technology from 2020 to 2022. Over the course of two years, he supported faculty in delivering course content and assisted students in understanding complex concepts related to data science and machine learning.
Educational Background in Data Science
Afik Bar studied at Technion - Israel Institute of Technology, where he earned a Bachelor of Science (BSc) in Data Science from 2016 to 2020. Additionally, he attended the University of Toronto, completing a Bachelor of Science (BS) in Data Processing in 2018. His education has provided a strong foundation in data analysis and machine learning techniques.
Professional Journey and Early Career
Afik Bar's professional journey began as a System & Website Administrator at Donatelo Promotional Display from 2010 to 2012. He then served as a Geographic Information Systems Analyst in the Israel Defense Forces from 2012 to 2015, followed by a similar role at the Israel Ministry of Defense from 2016 to 2018. He transitioned to software engineering at Micro Focus, where he worked for three years before moving into machine learning roles.