Adam Rosenthal
About Adam Rosenthal
Adam Rosenthal is a Full Stack Data Scientist with extensive experience in data analysis and research. He has worked at various institutions including the Bank of Israel and KPMG Israel, and has been involved in academia as a teaching assistant at The Hebrew University of Jerusalem.
Work at KPMG Israel
Adam Rosenthal has been employed at KPMG Israel as a Full Stack Data Scientist since 2018. His role involves utilizing data science techniques to provide insights and solutions for various projects. KPMG Israel is known for its consulting and professional services, and Rosenthal contributes to its mission by applying his expertise in data analysis and software development.
Current Role at Datahack
Since 2017, Adam Rosenthal has been a Production Team Member at Datahack in Jerusalem. In this capacity, he collaborates with team members to develop and implement data-driven solutions. His experience in data science enhances the team's ability to analyze complex datasets and improve operational efficiency.
Experience at Bank of Israel
Adam Rosenthal worked at the Bank of Israel from 2015 to 2018 as a Researcher and Data Analyst in the Research Department. During his three years in this role, he focused on analyzing economic data and contributing to research initiatives that informed monetary policy decisions.
Teaching Assistant at The Hebrew University of Jerusalem
Since 2017, Adam Rosenthal has served as a Teaching Assistant at The Hebrew University of Jerusalem. In this role, he supports professors in delivering course content and assists students with their learning. His involvement in academia reflects his commitment to education and knowledge sharing.
Educational Background
Adam Rosenthal studied at The Hebrew University of Jerusalem, where he earned a Bachelor's degree in Economics, Accounting, and Finance from 2013 to 2016. He continued his education at the same institution, completing a Master's degree in Computer Science from 2017 to 2019. His educational background provides a strong foundation for his career in data science and analytics.