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Certifications
Work Experience
Credit Modeler Intern
Conn's HomePlus• June 2021 - September 2021
Built Regression and Tree-based machine learning models in Python to decide on client loan approval utilizing hyperparameters tuning and cross-validation to reach an accuracy of over 0.7 on average. Accelerated computation speed by building pipelines in PySpark, saving 10% time compared to Pandas. Identified fraud applications with over 80% correctness from application information on the SentiLink platform. Created and maintained monthly credit Excel reports using Visual Basic for Applications (VBA), including visualizing different metrics and KPIs and updating pivot tables. Assisted the managers in selecting the best model before deployment for the business need.
Statistical Assistant
Greenpeace• June 2021 - August 2021
Web-scraped 1000+ pieces of news from 5 websites to gather all the environmental-related news (50) in the past month to locate polluted regions in Taiwan utilizing Requests and BeautifulSoup packages in Python. Trained and supported the researchers in efficiently collecting and wrangling data using Pandas and BeautifulSoup instead of manually using the spreadsheet.
Education
University of Washington, Washington
Data Science, MS• September 2021 - Present
Rigorous training in advanced statistical theorem and its application to public health.
National Taipei University
Mathematics, BS• September 2017 - June 2021
Rigorous training in fundamental statistical theorems and the capability of using software to conduct data-analysis projects, including Python, R, and SAS.
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