Ege Gürmeriçliler
About Ege Gürmeriçliler
Ege Gürmeriçliler is a Feature Engineer at Two Sigma, specializing in feature creation and data analysis. He holds a Bachelor of Science from EPFL and a Master of Science from Columbia University, with prior experience as a PhD student and intern at notable institutions.
Work at Two Sigma
Ege Gürmeriçliler has been employed at Two Sigma as a Feature Engineer since 2020. In this role, he contributes to research and development in feature creation, focusing on innovative approaches to data analysis. He engages in collaborative projects within the Feature Engineering team, enhancing machine learning models that are utilized in financial analysis. His work supports Two Sigma's data-driven investment strategies, emphasizing the importance of advanced feature engineering techniques.
Education and Expertise
Ege Gürmeriçliler holds a Bachelor of Science (BSc) in Computer and Communication Sciences from EPFL (École polytechnique fédérale de Lausanne), where he studied from 2015 to 2018. He furthered his education with a Master of Science (MS) in Computer Science from Columbia University, completing his studies from 2018 to 2020. Additionally, he participated in an exchange program at the University of Washington during the 2017-2018 academic year.
Previous Experience
Before joining Two Sigma, Ege Gürmeriçliler worked as a PhD Student at Columbia University in the City of New York from 2018 to 2020. He also completed two summer internships at Bloomberg LP within the Electronic Trading department from 2018 to 2019. His earlier experience includes being a Bachelor Student at EPFL from 2015 to 2018, where he was involved in the Laboratory for Cryptologic Algorithms.
Academic Background
Ege Gürmeriçliler's academic journey began at Lycée Français Charles de Gaulle Ankara, where he completed his high school education from 2012 to 2014. He then attended Lycée Français Jean Monnet, achieving a Baccalauréat in Série Scientifique from 2014 to 2015. His studies at EPFL and Columbia University further solidified his foundation in computer science and engineering.