Summary
Hui Lyu is an Associate at PwC China with nine years of experience bridging financial risk consulting and data analytics, grounded in an MS in Computer Science from the University of Pennsylvania. She brings a research-driven approach from her time as a machine learning TA and research assistant, applying mathematical rigor and practical Python/Matlab coding to real-world problems. Her background spans large-scale log analysis and feature engineering—demonstrated during a VMware data science internship automating and parsing 300+GB of syslogs to accelerate fault diagnosis. Hui’s interdisciplinary training in library and information science and information engineering gives her an uncommon strength in provenance, metadata modeling, and SQL-driven data cleansing for high-integrity datasets. Based in Chaoyang District, Beijing, she combines network security interests with hands-on consulting work for financial institutions, often turning complex technical findings into actionable risk-management advice. Colleagues describe her as detail-oriented and methodical, able to translate research insights into deployable analytics.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Electronic and Information Engineering, Cumulative GPA: 3.83/4.00, Bachelor’s Degree, Electronic and Information Engineering, Cumulative GPA: 3.83/4.00 at Beihang University
University of Illinois Urbana-Champaign
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at 美国宾夕法尼亚大学
High School, High School at Beijing No.80 High School
Chinese, English