Wen Huang

Wen Huang

Data Scientist @ Thomson Reuters

About Wen Huang

Wen Huang is a Data Scientist currently employed at Thomson Reuters in New York, New York. He has a background in mathematics, computer science, and statistics, with previous roles at Professional Examination Service and Deutsch.

Current Role at Thomson Reuters

Wen Huang has been employed as a Data Scientist at Thomson Reuters since 2019. In this role, Huang applies data analysis and statistical techniques to support various projects within the organization. The position involves working with large datasets to derive insights that inform business decisions and enhance operational efficiency.

Previous Experience at Professional Examination Service

Prior to joining Thomson Reuters, Wen Huang worked at the Professional Examination Service as a Statistician and Statistical Programmer from 2010 to 2017. During this seven-year tenure in New York, Huang focused on statistical analysis and programming, contributing to the development and evaluation of examination processes.

Education and Expertise

Wen Huang holds a Bachelor of Arts in Mathematics and Computer Science from the City University of New York-Queens College, where studies were completed from 2012 to 2016. Additionally, Huang earned a Master of Science in Statistics from Baruch College. Earlier, Huang studied Atmospheric Sciences and Meteorology at Sun Yat-sen University from 2006 to 2010.

Experience at Deutsch

Wen Huang served as a Data Strategist at Deutsch for one year, from 2018 to 2019, in the Greater New York City Area. In this role, Huang utilized data-driven strategies to support marketing and advertising initiatives, leveraging analytical skills to enhance campaign effectiveness.

Research Assistant Role at Queens College

Before pursuing a career in data science, Wen Huang worked as a Research Assistant at Hickerlab in the Biology Department of Queens College from 2007 to 2010. This role involved supporting research projects through data collection and analysis, contributing to the academic environment at the institution.

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