Luyun Zhao is a Senior Manager in Data Analytics with 11 years of experience applying statistical rigor to consumer goods and e-commerce problems, currently leading analytics at Coupang in San Jose. Trained at UC Berkeley (M.A. in Statistics) and experienced as a GSI, she combines advanced skills in R, Python, machine learning, and visualization with strong business acumen to turn complex data into actionable trade and pricing strategy. Her background spans forecasting, promotion optimization, and P&L-driven decision making, and she has hands-on engineering experience improving error handling in an open-source cloud storage benchmark. Known for clear public speaking and mentoring, she bridges quantitative modeling and operational execution to drive measurable business impact.
11 years of coding experience
8 years of employment as a software developer
Master of Arts (M.A.), Statistics, Master of Arts (M.A.), Statistics at University of California, Berkeley
Bachelor of Science (B.S.), Statistics & Economics, Bachelor of Science (B.S.), Statistics & Economics at University of Washington
Contributions:49 commits, 1 PR, 4 pushes in 9 months
Contributions summary:Luyun primarily focused on enhancing the error handling and reporting mechanisms within the cloud object storage benchmark tool. They added a new `ErrorStatistics.java` class to track and count errors in operations. They also modified several existing files, specifically `SwiftClient.java`, `Writer.java`, `Reader.java` and `MissionHandler.java`, to integrate the error statistics gathering and reporting within different components of the system, including swift operations. This involved incorporating the new error handling logic and ensuring errors were appropriately logged and summarized.
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