sharonyan
Summary
👤
SeniorXiuruo Yan is a data scientist and model validation leader with eight years of experience bridging rigorous statistical foundations and production-grade ML in financial services. Currently a VP and Model/Analysis/Validation Officer at Citi, she combines a Columbia MA in Statistics with hands-on work building credit and risk models, automated tagging systems, and high-precision classifiers in industry settings. Her technical toolkit spans Python, TensorFlow/PaddlePaddle, R/Shiny, SQL, Spark and Google Cloud, and she has a track record of turning large, messy financial datasets into actionable risk decisions. Earlier roles at Reach Financial, Baidu and Bank of China show depth in both product-facing ML and operational risk analytics. Known for strong communication and teamwork, she brings an uncommon blend of academic rigor and production experience that speeds model governance and deployment. Outside the obvious, she has experience automating large-scale data filtering and spam detection systems that delivered near-real-time precision in high-throughput environments.
8 years of coding experience
Github Skills (3)
machine-learning2
deep-learning2
ai1
Programming languages (1)
Github contributions (5)
TZstatsADS/Spring2018-Project2-Group3
Feb 2018 - Feb 2018
Contributions:64 commits, 4 pushes in 14 days
xiuruoyan/Airbnb_Beijing
Sep 2019 - Oct 2019
Contributions:24 pushes, 1 branch in 1 month
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