Summary
Yibei Hu is a data scientist with three years of applied analytics experience and an MS in Analytics from Georgia Tech (GPA 3.91) who combines strong technical chops in SQL, Python, R, Tableau and PySpark with a business-first mindset honed at USC Marshall. She has driven measurable impact—improving revenue forecast accuracy by 72% with SARIMA and Gaussian Process models and saving 16 monthly man-hours by productionizing a text-processing pipeline in Azure Synapse. Her background spans finance, consulting, and marketing, giving her a knack for translating messy, unstructured data into operational dashboards and portfolio-level insights. Currently at Nixtla, she is pursuing data scientist roles where she can blend time-series modeling, ML, and data engineering to inform strategic decisions. A detail that sets her apart is her consistent focus on downstream usability—building models and pipelines that directly enable managerial action and real-time budgeting.
3 years of coding experience
Bachelor's degree, Business Administration and Management, General, 3.76, Bachelor's degree, Business Administration and Management, General, 3.76 at University of Southern California
Master's degree, Data Science, 3.91, Master's degree, Data Science, 3.91 at Georgia Institute of Technology
Chinese, English, Spanish