Sami Hamdan
About Sami Hamdan
Sami Hamdan is a Data Scientist with a diverse educational background in Electrical Engineering and Political Science, having studied at prestigious institutions including ETH Zürich and Université de Genève. He has worked as a Machine Learning Research Intern at Sonova Group and has been employed at Thomson Reuters since 2019.
Work at Thomson Reuters
Sami Hamdan has been employed at Thomson Reuters as a Data Scientist since 2019. His role involves applying data science techniques to enhance the company's data-driven decision-making processes. Located in the Région de Zürich, Suisse, he contributes to various projects that leverage machine learning and data analysis to support business objectives.
Education and Expertise
Sami Hamdan has a diverse educational background in engineering and political science. He earned a Master's degree in Electrical Engineering from ETH Zürich, completing his studies from 2017 to 2019. Prior to this, he studied at Technische Universität Berlin for an exchange year in Electrical Engineering. He also holds a Bachelor of Arts in Political Science from Université de Genève and a Bachelor of Applied Science in Communication Systems from Ecole polytechnique fédérale de Lausanne. Additionally, he participated in an intensive summer program in Modern Standard Arabic at the American University of Beirut.
Background
Sami Hamdan completed his high school education at Collège de Candolle Genève, achieving the High School Matura from 2008 to 2012. His academic journey reflects a strong foundation in both technical and social sciences, which supports his current role in data science. His international educational experiences have provided him with a broad perspective in his field.
Previous Experience at Sonova Group
Before joining Thomson Reuters, Sami Hamdan worked as a Machine Learning Research Intern at Sonova Group in 2019. During his seven-month internship, he focused on developing machine learning models and conducting research that contributed to the company's technological advancements in the hearing aid industry.