Summary
Tianyu Jiang is a Business Intelligence Analyst and Applied Statistics master's student at the University of Michigan with nine years of experience translating complex data into actionable insights across educational and IT settings. Skilled in data visualization, clustering, and dashboard design, Tianyu has built analytics prototypes and executive reports that informed institutional decisions and improved student-facing tools. Their background in cognitive science and research gives them a strong foundation in experimental design and statistical thinking, while GSI roles demonstrate clear communication and teaching ability with tools like R, Tableau, and Excel. A member of a selective entrepreneurship cohort and an ITS fellow, they combine technical rigor with an entrepreneurial mindset and a focus on user-centered solutions. Strengths in curiosity, systems thinking, and restorative problem-solving help them connect disparate data sources into coherent narratives that stakeholders can act on. Based in Ann Arbor, they bring a rare blend of academic research experience and product-oriented BI delivery to institutional analytics challenges.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Applied Statistics, Master of Science - MS, Applied Statistics at University of Michigan
High School, High School at United World College Changshu China
High School, High School at No. 2 High School of East China Normal University
Chinese, English