Xinyang Song
Yield Analysis Engineer at Samsung Semiconductor
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolXinyang Song is a Yield Analysis Engineer with nine years of experience bridging data science and semiconductor manufacturing, currently driving yield improvements at Samsung Semiconductor in Austin. Trained with a Master's in Data Science from Rice University and an engineering background in automation and ECE, they apply Python, SQL, R, and big-data tools (Spark, Hadoop, AWS) to root-cause analysis, change-point detection, and statistical modeling for test and process data. Comfortable with both hands-on data processing and communicating results, Xinyang has taught Python programming to graduate students, honing the ability to translate complex algorithms into practical solutions. Known for blending classical statistics with modern big-data stacks, they focus on turning noisy manufacturing signals into actionable yield insights.
9 years of coding experience
Master's degree Data Science, Master's degree Data Science at Rice UniversityBachelor of Engineering - BE Automation, Bachelor of Engineering - BE Automation at Huazhong University of Science and TechnologyMaanshan No.2 High Schoolexchange student Electrical Engineering and Computer Science, exchange student Electrical Engineering and Computer Science at National Tsing Hua University
Chinese, English, Korean
Github Skills (13)
java9
apache9
energy8
apache-iceberg7
big-data7
high-energy-physics7
snl-applications6
physics6
tabular6
storage5
data-management4
ceph3
benchmark1
Programming languages (4)
Github contributions (5)
kingwind123/CAT-System
Aug 2020 - Dec 2020
Contributions:51 commits, 41 pushes, 1 branch in 3 months
joeyhaohao/amazon_recommender
May 2020 - Aug 2020
Contributions:73 commits, 1 push in 3 months
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