Carol Xinyue Chang
About Carol Xinyue Chang
Carol Xinyue Chang is a Data Science Intern at Fluz in New York, with a background in finance and data science, and experience in financial analysis and predictive modeling.
Current Role at Fluz
Carol Xinyue Chang is currently a Data Science Intern at Fluz in New York, New York. In this role, she contributes to data analysis projects focused on consumer behavior and transaction patterns. Her responsibilities include developing predictive models to improve financial forecasting accuracy. Chang's work at Fluz involves handling large datasets and employing machine learning techniques to derive actionable insights.
Previous Experience at American Education Center,Inc (AEC)
From 2018 to 2020, Carol Xinyue Chang worked at American Education Center, Inc (AEC) as a Financial Analyst. During her two-year tenure in the Greater New York City Area, she was responsible for analyzing financial data and providing insights to support the company's financial decision-making processes. Her role involved extensive use of financial modeling and statistical analysis.
Educational Background
Carol Xinyue Chang holds multiple degrees in finance and data science. She earned a Master's degree in Data Science from The Graduate Center, City University of New York, studying from 2020 to 2022. Prior to that, she achieved a Master of Science (MS) in Finance from Baruch College, which she attended from 2016 to 2018. Chang also completed a Bachelor of Business Administration (B.B.A.) in Banking, Corporate, Finance, and Securities Law from Colorado State University in 2015, and a Bachelor of Business Administration - BBA in Finance from China Agricultural University, where she studied from 2011 to 2016.
Research and Projects
During her time at The Graduate Center, CUNY, Carol Xinyue Chang participated in a collaborative project that analyzed large datasets to identify trends in urban development. She also presented a research paper on the application of machine learning in finance at a university symposium. These projects demonstrated her ability to apply complex data science techniques to real-world problems and her expertise in financial analysis.
Mentorship and Community Involvement
Carol Xinyue Chang volunteered as a mentor for undergraduate students interested in data science and finance at The Graduate Center, CUNY. This role involved guiding students through their academic and professional development, providing career advice, and sharing her expertise in the fields of data science and finance. Her mentorship has contributed to the growth and learning of aspiring professionals in these fields.