Zeyu Yang
About Zeyu Yang
Zeyu Yang is a Data Scientist currently employed at The New York Times, where he has worked since 2021. He specializes in developing machine learning models for subscription retention and user engagement, holding a Master's degree from Columbia University and a Bachelor's degree from Shanghai University.
Work at The New York Times
Zeyu Yang has been employed as a Data Scientist at The New York Times since 2021. In this role, he focuses on developing machine learning models that enhance user engagement through personalized recommendations. His work contributes to the organization's data-driven decision-making processes and aims to improve subscription retention.
Previous Experience at What If Media Group
Prior to his current position, Zeyu Yang worked as a Data Scientist at What If Media Group from 2020 to 2021. During his tenure, he specialized in machine learning models for subscription retention and survival analysis. His experience in this role helped him refine his skills in data analysis and model implementation.
Education and Expertise
Zeyu Yang holds a Master's degree from Columbia University in the City of New York, where he studied from 2018 to 2020. He also earned a Bachelor's degree from Shanghai University, completing his studies there from 2014 to 2018. His education has provided him with a strong foundation in data science and machine learning, enabling him to implement models in production environments effectively.
Specialization in Machine Learning
Zeyu Yang specializes in developing machine learning models, particularly for subscription retention and survival analysis. His expertise includes creating personalized recommendations that enhance user engagement. This specialization allows him to apply data science techniques to real-world challenges in the media industry.