Xun Wang
senior manager data science at geico@ GEICO
Washington DC-Baltimore Area
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Xun Wang is a data science leader and ML engineer with over 8 years of industry experience. He is skilled in Python, R, machine learning, statistical modeling, and MySQL. Currently, he works at Geico, where he focuses on building ML systems for claims business stakeholders to detect fraud and improve efficiencies. With a background in research and analytics, Xun has a strong understanding of data science and software systems. He has worked in various roles, including Senior Manager, Data Science at GEICO and Principal Data Scientist at Snagajob.
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Research Details
Skills & Insights
Colleagues

Emails and Phone Numbers

@geico.com
@hjf.org
@geico.com
@pitt.edu
@geico.com
@sentrana.com
@cornell.edu
+1 607220****
+1 202507****
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About

I love extracting insights from data and leveraging software systems to automate large-scale data-driven decision-making processes. Ever since I built my first neural network model in 2008 for my undergraduate thesis, I know data science would be my passion for years to come. I'm a data science leader and ML engineer with more than 8 years of industry experience. The systems my teams built cover domains such as search, recommendation, nlp, fraud detection, with applications in food manufacturing & distribution, online job marketplaces, and most recently auto insurance. My current role with Geico focuses on building ML systems for claims business stakeholders to detect fraudulent transactions and improve efficiencies of the claims handling process.

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Work Experience

5260 Western Avenue, Chevy Chase, MD, 20815, US

Insurance

27870
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Xun Wang's Professional Milestones

  • senior manager data science at geico (2021-01-01~): Developed and implemented data-driven strategies to optimize business analysis and drive data-informed decision-making.
  • Technical Consultant, Modeling And Web Application Development (2010-06-01~2013-08-01): Provided strategic guidance and support to developers, optimizing their software solutions and driving business growth.
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Education

Cornell University
Cornell University

Statistics,

Engineering,

Philosophy,

Doctorates,

Doctor Of Philosophy,

Transportation & Systems Engineering

2008-2013
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