Weijin Zou
About Weijin Zou
Weijin Zou is a skilled Research Assistant at Yale University's LILY Lab, with expertise in big data technologies, machine learning frameworks, and programming languages. He has experience working in various roles, including as a Clinical Data Analyst Intern at Eli Lilly and a Machine Learning Engineer at LinkedIn.
Work at Yale University
Currently, Weijin Zou serves as a Research Assistant at the LILY Lab at Yale University, a position held since 2022. This role follows a previous tenure as a Research Assistant at the same institution from 2021 to 2022. Zou's work in the LILY Lab focuses on research initiatives that leverage advanced data science techniques.
Education and Expertise
Weijin Zou studied at Yale University, where he earned a Master of Science in Data Science from 2021 to 2023. His education has equipped him with strong analytical skills, as evidenced by a GRE score of 325. Zou possesses advanced skills in programming languages such as Python, C++, Shell, and Matlab, and has expertise in big data technologies and machine learning frameworks.
Professional Experience
Weijin Zou has a diverse professional background in data analysis and machine learning. He worked as a Clinical Data Analyst Intern at Eli Lilly and Company from 2019 to 2020. Subsequently, he served as an NLP Engineer at BBD from 2020 to 2021. Zou also held an internship as an AI-Machine Learning Engineer at LinkedIn in 2022, before taking on his current role as a Machine Learning Engineer at LinkedIn in 2023.
Technical Skills
Zou demonstrates strong capabilities in big data technologies, including MySQL, SQL Server, Hadoop, and Spark. He is proficient in machine learning frameworks such as TensorFlow, Keras, and Paddle. Additionally, he has skills in web development technologies, including Flask, RestfulAPI, and React, and specializes in Natural Language Processing techniques like Named Entity Recognition and Document Analysis.
Language Proficiency and Personal Skills
Weijin Zou achieved a TOEFL score of 107 out of 120, indicating high proficiency in English. In addition to his technical skills, he has a high proficiency in playing the piano, having reached the highest level in the instrument.