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Diana Wang is a Data Scientist Intern at PipeIQ, where responsibilities include developing SQL databases and creating Tableau dashboards, resulting in significant time savings for clients. Previous experience includes serving as a Data Modeling Research Lead at Columbia University, where Lasso Regression was identified as superior for high-dimensional data analysis, and as a Data Processing Specialist at the University of California, Santa Barbara, where insights led to enhanced bus coverage addressing local housing shortages. Earlier roles include a Summer Data Analyst Intern at Deloitte, where data quality was improved by 50%, and a Research Assistant at Shanghai Normal University, contributing to a published paper through regression analysis. Diana holds a Master of Arts in Statistics from Columbia University and a Bachelor's degree in Data Science from the University of California, Santa Barbara.