Mona Kan has a diverse background in data analysis and consulting, encompassing roles at prestigious organizations such as Ernst & Young and Capital One. Experience includes serving as a Consulting Intern, where data quality assurance and user testing report generation were key responsibilities, and as a Senior Data Analyst leading a team to create a data mart for payment propensity modeling. Notable projects involved developing predictive algorithms and optimization frameworks, as well as designing frameworks for effective marketing spend and customer segmentation. Educational qualifications include a Bachelor of Business Administration from National Chung Cheng University and a Master of Science in Business Analytics from the University of Minnesota, supported by a merit-based scholarship. Additionally, experience as an Analytics Student Consultant includes work for high-profile clients such as the Mall of America and a leading hospitality business.
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