Sean Tey

Data Infrastructure Engineer at Kinship
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Contact Information
us****@****om
(386) 825-5501
Location
US
Languages
  • English Native or bilingual proficiency
  • Chinese - Mandarin Native or bilingual proficiency
  • Malay Professional working proficiency

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Credentials

  • AWS Certified Developer – Associate
    Amazon Web Services (AWS)
    Jun, 2020
    - Nov, 2024
  • AWS Certified Solutions Architect – Associate
    Amazon Web Services (AWS)
    Jun, 2020
    - Nov, 2024

Experience

  • Kinship
    • United States
    • Pet Services
    • 100 - 200 Employee
    • Data Infrastructure Engineer
      • Oct 2020 - Present

      https://www.petinsight.com/ https://www.petinsight.com/

  • UnitedHealth Group
    • Hospitals and Health Care
    • 700 & Above Employee
    • Data Science Intern
      • Oct 2019 - Jun 2020

      • Predicted members that are likely to be hospitalized in the near future using Gradient Boosting Trees with CatBoost (Python). • Conducted hypothesis tests and created visualizations to detect trends, establish associations, and identify potential features for modelling using NumPy, SciPy, and Altair (Python). • Cleaned and processed millions of insurance claims transactions with SQL. • Predicted members that are likely to be hospitalized in the near future using Gradient Boosting Trees with CatBoost (Python). • Conducted hypothesis tests and created visualizations to detect trends, establish associations, and identify potential features for modelling using NumPy, SciPy, and Altair (Python). • Cleaned and processed millions of insurance claims transactions with SQL.

  • UCSF Health
    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Machine Learning Researcher
      • May 2018 - Jun 2019

      • Applied machine learning algorithms on fMRI data to classify memory-related tasks and identify brain regions associated with high fidelity memory using Scikit-learn and PyMVPA (Python). • Developed a processing pipeline to normalize fMRI data using the Advanced Normalization Tools (ANTs) package and the PyMVPA library (Bash and Python). • Streamlined the training and testing infrastructure using Docker and AWS Elastic Cloud Compute (EC2). • Applied machine learning algorithms on fMRI data to classify memory-related tasks and identify brain regions associated with high fidelity memory using Scikit-learn and PyMVPA (Python). • Developed a processing pipeline to normalize fMRI data using the Advanced Normalization Tools (ANTs) package and the PyMVPA library (Bash and Python). • Streamlined the training and testing infrastructure using Docker and AWS Elastic Cloud Compute (EC2).

  • University of San Francisco - Information Technology Services
    • United States
    • Information Technology & Services
    • 1 - 100 Employee
    • Student Technician
      • Oct 2014 - Apr 2016

      • Maintained Windows and MacOS deployment images for on-campus machines using Symantec GhostCast. • Communicated with internal customers on possible solutions to issues such as unexpected hardware failures. • Ensured functionality of images by collaborating with the QA team and running tests on various hardware. • Maintained Windows and MacOS deployment images for on-campus machines using Symantec GhostCast. • Communicated with internal customers on possible solutions to issues such as unexpected hardware failures. • Ensured functionality of images by collaborating with the QA team and running tests on various hardware.

Education

  • University of San Francisco
    Master of Science - MS, Data Science
    2019 - 2020
  • University of San Francisco
    Bachelor's degree, B.S. Data Science, B.A. Economics
    2014 - 2018

Community

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