Qin Wang
About Qin Wang
Qin Wang is a Student Library Assistant at The George Washington University Confucius Institute, where he has worked as a Chinese tutor since 2019. He holds a Master's degree in Statistics from The George Washington University and has diverse internship experience in data analysis and finance.
Work at The George Washington University
Qin Wang has been employed at The George Washington University since 2019. In this role, he serves as a Student Library Assistant, where he supports library operations and assists students in accessing resources. Additionally, he works as a Chinese tutor at the university's Confucius Institute, providing language instruction and cultural insights to students. His ongoing contributions to the university highlight his commitment to education and student support.
Education and Expertise
Qin Wang holds a Master's degree in Statistics from The George Washington University, which he completed from 2018 to 2020. Prior to this, he earned a Bachelor's degree in Applied Mathematics from the University of Illinois at Urbana-Champaign, studying there from 2015 to 2018. He also has a Bachelor's degree in Computational Mathematics from South China Agricultural University, where he studied from 2013 to 2015. His educational background provides a strong foundation in quantitative analysis and statistical methods.
Internship Experience
Qin Wang has a diverse range of internship experiences in the financial industry. In 2017, he interned at MSCI Inc. in the Risk Management Department for one month in Beijing, China, and also completed a one-month internship at The People's Bank of China in the Statistics Division in Foshan, Guangdong, China. Earlier, he worked as a Financial Market intern at Shanghai Pudong Development Bank from 2014 to 2015 in Guangzhou, Guangdong, China. In 2019, he gained experience as a Data Analyst Intern at Nasdaq in New York for two months.
Technical Skills
Qin Wang possesses proficiency in SAS, a statistical software that indicates his strong capabilities in data analysis and statistical programming. He has also contributed to a data analysis project using R, further showcasing his skills in statistical programming and data manipulation. His technical expertise supports his academic and professional pursuits in statistics and finance.