Summary
Xiaohui Tan is a data scientist with over a decade of experience delivering analytics and ML-driven solutions across tech, marketing, and retail, and a formal MS in Business Analytics from UC Irvine. She has a proven track record optimizing ETL pipelines, building predictive and survival models, and creating dashboards that cut reporting time by up to 80% while improving churn prediction performance by 35%. Comfortable across SQL, Python, cloud tooling (Redshift, Athena, Spark/Qubole), and visualization platforms, she routinely translates complex, large-scale datasets into actionable insights for cross-functional teams. Bilingual in English, Mandarin, and Cantonese, she has driven measurable business impact—from uncovering a $5M product opportunity in gaming to improving lead-to-cash conversion by 25% in China. Currently based in Santa Ana, CA, she is actively pursuing roles in data analysis and business analytics where she can combine hands-on engineering with strategic problem solving.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, China Business Studies, Master of Science - MS, China Business Studies at The Hong Kong Polytechnic University
Bachelor’s Degree, Sport and Fitness Administration/Management, Bachelor’s Degree, Sport and Fitness Administration/Management at Quinlan School of Business, Loyola University Chicago
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at University of California, Irvine - The Paul Merage School of Business
High School, IB Diploma Programme, High School, IB Diploma Programme at Guangdong Country Garden School
English, Chinese, Chinese