Shan double-majored in Foreign Language and Literature/Library and Information Science at the National Taiwan University. While in college, she worked on a project that proposed how libraries should apply data science methods for marketing efforts. Thus, she later planned to pursue advanced analytics knowledge.
As a researcher at Taiwan Trend Research, Shan was engaged in conducting surveys for government entities and business sectors and gained a wide range of research experiences, including service evaluation, mystery shopper missions, industry trends analysis, and consumer usage and attitude survey. Her sights from surveys helped clients diagnose reasons for low satisfactory rates, which gave rise to her strong interest in consumer research. Soon she realized her eagerness to sharpen her analytics skills and decided to pursue an MS in Business Analytics and Information Management (BAIM) from Purdue University.
After completing the BAIM program at Krannert School of Management, Shan aims to secure a position within Big Data technology, optimization, and predictive analytics for complex decision-making. In the coming years, she plans to become an analyst and tackle challenges from business dynamics and social issues in general.