Yewen Zhou
About Yewen Zhou
Yewen Zhou is a Data Scientist with a strong academic background in Data Science and Business/Industrial Analytics. He has experience in various roles, including internships and research positions, at institutions such as Scry AI, Columbia University, and UC Berkeley.
Current Role at Scry AI
Yewen Zhou currently holds the position of Data Scientist at Scry AI, having joined the company in 2023. In this role, Zhou applies data science methodologies to solve complex problems and contribute to the company's objectives. The position is based in San Jose, California.
Previous Experience at Scry Analytics
Prior to his current role, Yewen Zhou worked as a Data Science and Engineering Intern at Scry Analytics in 2022. This internship lasted for three months and took place in San Jose, California. During this time, Zhou gained practical experience in data science applications.
Educational Background in Data Science
Yewen Zhou earned a Master of Science in Data Science from Columbia University. He also holds a Bachelor of Arts in Data Science with a focus on Business/Industrial Analytics from the University of California, Berkeley. His education provided him with a strong foundation in data analysis and statistical methods.
Research and Projects at UC Berkeley
While studying at UC Berkeley, Yewen Zhou conducted time-series research on Covid-19 using R, achieving a high final score of 88 out of 90. He also led a team in developing an algorithm that utilized Krippendorff's Alpha to assess agreement levels among over 1,000 users.
Professional Experience in Data Science
Yewen Zhou has held various positions in the field of data science. He served as a Graduate Research Assistant at Columbia University's SAFE Lab from 2021 to 2022. Additionally, he worked as a Math/Stat Drop-in Tutor and Transfer Mentor at UC Berkeley in 2020, and as an Ads Algorithm Backend Intern at iQIYI.com in 2021, where he developed a time series module for ads inventory prediction.