▪ Assisted with NIH funded research to identify the most accurate approach to estimate treatment effectiveness (1-year-after-initial-AMI survival) on elderly patients not generally eligible for randomized controlled trials (RCTs)▪ Discovered significant findings such as upcoding and treatment-risk paradox by using data mining, which indicates the pervasive pattern of less-intensive care for higher-risk patients▪ Enhanced the accuracy of predictive models by over 5% by applying under-sampling technique and nested cross-validation on logistic regression, random forest, and SVM based on 200+ features (demographics, medical history, insurance, etc.) of 124,000+ patients▪ Resolved issues and improved productivity by seamlessly communicating in-between two professors to collect expertise in their respective areas (Data Science and Pharmacy Science) and reporting work progress concisely in oral, written, and graphical format▪ Presented the poster, “Data Analytic Approaches to Estimate the Treatment Effectiveness of ACE inhibitors/ARB blockers”, at the Undergraduate Research Conference

▪ Consulted on best business practice for a higher education fundraising company, Ruffalo Noel Levitz, to increase pick-up call and donation rate▪ Recognized by the client for clear data visualization and insightful, tactical strategies to target high-potential donors based on data models (decision tree, random forest, and SVM) built withdemographic information and donation history of 250,000+ customers▪ Ensured internal decisions and findings corresponded with the client’s business requests andinsights through bi-weekly virtual meetings

▪ Assisted a manager to conduct total $400K valued of 12-week-length of 7 projects for 6 major pharmaceutical companies▪ Analyzed data collected from questionnaires to research the profile and overall flow of patients, the awareness, satisfaction, and suitable price range of products, and the effectiveness of advertisement and communication▪ Improved information sharing, schedule alignment, and reduced project time by effectively communicating with 4 internal divisions and clients▪ Involved in sales process including presenting proposals and final project delivery to company executives

▪ Designed entity relationship diagrams (ERDs) and transformed into relational database schema to describe technical and organizational specifications for DBMS and maintain integrity of data are manipulated▪ Created and implemented efficient SQL statements to extract information to satisfy business reporting requests and facilitate sharing between multiple data systems