Andrew Zehr
About Andrew Zehr
Andrew Zehr is a Data Scientist at QuantCo in Zurich, Switzerland, with a background in statistics and data analysis from ETH Zürich and Purdue University.
Current Role at QuantCo
Andrew Zehr is currently employed as a Data Scientist at QuantCo in Zurich, Switzerland. In this role, he applies data science techniques to solve complex business challenges. QuantCo specializes in combining data science and technology to deliver impactful solutions, and Andrew contributes to the team's efforts with his expertise in statistics and machine learning.
Previous Experience at ETH Zürich
In 2022, Andrew served as a Teaching Assistant at ETH Zürich for three months. During his time there, he assisted in courses related to advanced statistical modeling. This role involved supporting students in their understanding of complex statistical concepts and assisting professors with instructional duties.
Educational Background
Andrew Zehr pursued his advanced education in Statistics at ETH Zürich, earning a Master’s degree from 2021 to 2023. Before that, he completed his Bachelor of Science in Mathematics and Statistics at Purdue University, where he studied from 2017 to 2021. His academic journey has provided him with a strong foundation in statistical methodologies and data analysis.
Research and Internship Experience
Andrew has participated in several enriching research and internship experiences. At Purdue University, he contributed to a research project focusing on statistical methods for big data analysis. He was also a participant in the Big Data Summer Institute at the University of Michigan, collaborating on a health data analytics project. Furthermore, Andrew interned at Ford Motor Company, where he worked on a project involving predictive analytics for vehicle maintenance.
Master's Thesis at ETH Zürich
For his Master's degree at ETH Zürich, Andrew completed a thesis on the application of machine learning techniques to financial data. This research involved developing and applying machine learning models to gain insights and make predictions within the finance sector, highlighting his capability in both machine learning and financial analytics.