Celeste Hsu is a skilled software engineer currently employed at Cardlytics since April 2022. Previous experience includes a role as a Junior Analyst at Fannie Mae, where Celeste implemented Python codes to automate data processing in AWS Redshift, achieving a 70% reduction in manual work. An internship at EY Analytics involved designing ETL algorithms and developing a Chinese semantic analysis program, which decreased manual effort by 50%. Prior research experience includes contributing to projects at Okayama University and Chang Gung University, focusing on ion sensing and digital circuit design, respectively. Celeste holds a Master of Science in Electrical and Computer Engineering from North Carolina State University and a Bachelor's degree in Electrical Engineering from Chang Gung University.
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