Boyue Wang

Data Analyst

Los Angeles, California, United States
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Summary

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Senior
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Boyue Wang is a data scientist with nine years of hands-on experience turning complex datasets into actionable business and clinical insights, currently based in Los Angeles. He has led end-to-end projects from multiomics risk modeling—developing Random Forest and XGBoost models that achieved 88% accuracy and a 98.72% AUC for diabetes prediction—to building automated BI pipelines and forecasting dashboards at scale using Redshift, S3, Athena, QuickSight and Tableau. Comfortable across SQL, Python, pandas and feature-selection techniques like PCA and RFE, he bridges domain experts and stakeholders to translate technical results into clear visual reports and operational improvements. Past work includes large-scale consumer behavior analysis for e-commerce brands and insurance pricing analytics from millions of medical records, reflecting a strong mix of product and research impact. Notably, he reduced manual dashboard refresh time and uncovered a 50% revenue discrepancy at Amazon through careful data validation and ETL automation—evidence of his penchant for hunting down hidden data issues.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster's degree Industrial & System Engineering-Analytics, Master's degree Industrial & System Engineering-Analytics at University of Southern California
bookBachelor's degree Mathematics - Statistics track, Bachelor's degree Mathematics - Statistics track at University of Maryland
languagesEnglish, Chinese
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Github contributions (5)

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Contributions:5 commits, 4 pushes, 1 branch in 1 month
Youhao-Wang/cs216-Princeton

Oct 2016 - Oct 2016

Contributions:2 commits, 1 push, 1 branch in 1 day
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