Xueying Wang
Staff Fraud And Risk Analyst at Intuit
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolXueying Wang is a Staff Fraud and Risk Analyst with eight years of experience combining machine learning, NLP, and data science to reduce risk and improve customer experience at scale. Based in Mountain View, she has driven measurable impacts at Intuit—leading a team that halved analytics turnaround time, cut negative chargeback feedback by 30%, and boosted resolution speed by 17%. Her background spans productionizing models and pipelines across enterprises (FedEx, Intuit) and academia (MIT, Notre Dame), including distribution-shift detection, economic loss forecasting, and large-scale text mining on millions of reviews. She pairs deep technical skills in Python, TensorFlow/PyTorch, Spark and cloud platforms with product-minded experimentation that translated into a 13% NPS lift and 40% model performance gains. Notably, she led research improving temporal information extraction by 25% over prior work and applies that NLP rigor to risk analytics and people-analytics problems. Practical, collaborative, and outcome-driven, she builds AI-ready knowledge bases and monitoring systems that turn complex data into faster, actionable decisions.
8 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Engineering and Computer Science, Master of Science (M.S.), Engineering and Computer Science at University of the PacificMaster of Computer Science, Data Mining, Text Minging, Master of Computer Science, Data Mining, Text Minging at University of Notre Dame
English, German, Spanish, Chinese
Github Skills (16)
machine-learning8
shap8
gradient-boosting7
deep-learning7
shapley7
slot6
science6
orange5
temporal5
python5
extraction5
pandas4
data-science4
lda4
information-extraction3
Programming languages (2)
Github contributions (5)
s-wxy/s-wxy.github.io
Mar 2018 - Oct 2020
Contributions:119 pushes in 2 years 7 months
jekyll-blogjekyll-blog-themejekylljekyll-theme
xueying-s-wang/PGM_learning
Oct 2018 - Dec 2018
Contributions:109 pushes, 1 branch in 2 months
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