Summary
Ruoxin Wang is a data analyst with eight years of experience applying Python, SQL, and statistical learning to drive operational insights and process improvements across education, insurance, and research settings. Currently helping Masterprep optimize data pipelines and reporting, she has built end-to-end schemas, ETL flows, and ensemble/predictive models that improved query performance and model accuracy in past roles. Her background blends applied machine learning (supervised and unsupervised models), database design (snowflake schemas and ERDs), and hands-on data cleaning and QA—skills honed through projects from fraud detection to aerosol diffusion research. Based in Kirkland, WA, she pairs technical rigor with pragmatic product-facing reporting and has a track record of boosting performance metrics (10–20%) through query and algorithm tuning. An unexpected detail: she once translated high-speed videography of aerosol diffusion into novel spatial-temporal statistical methods, demonstrating a knack for interdisciplinary problem solving.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Business Data Analytics, Bachelor's degree, Business Data Analytics at Arizona State University
Master's degree, Information Systems, Master's degree, Information Systems at Northeastern University