Summary
Sharon Jia is a data scientist with eight years of analytical experience and an MS in Business Analytics from USC, currently applying data-driven solutions at RepairSmith. She combines strong statistical foundations (math/stats degrees) with practical marketing and subscription-business expertise—delivering targeted customer segmentation, predictive models, and interactive dashboards for both healthcare and consumer-focused projects. At Novo Nordisk she processed multi-gigabyte sales flows and built forecasting and price-modeling tools that halved workload and cut data redundancy by 40%, and earlier projects include designing ethnic-market targeting and renewal models for cosmetic practices. Technically fluent in SQL, Python, R, Java and tools like Tableau and Shiny, Sharon blends web scraping and data-mining skills with hands-on deployment of dashboards to turn insights into action. Notably, her background spans both academic rigor and real-world product analytics, from building an online bookstore prototype to optimizing subscription retention strategies.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Business Analytics, 3.7, Master of Science - MS, Business Analytics, 3.7 at University of Southern California
Mathematics and Statistics, 3.65, Mathematics and Statistics, 3.65 at Washington University in St. Louis
Bachelor's Degree in Economics, International Economics, 3.7, Bachelor's Degree in Economics, International Economics, 3.7 at University of International Relations