Daniel Lee is an experienced ML Software Engineer currently employed at Meta since May 2024, with a prior role at Capital One from February 2022 to May 2024, where responsibilities included developing applications for sensitive data detection using NLP and machine learning, as well as designing ETL pipelines for data management. Prior to Capital One, Daniel served as a Credit Rating Analyst and Associate at S&P Global from June 2016 to October 2020, focusing on unsecured consumer asset-backed securities and cash flow modeling. Daniel holds a Master of Science in Applied Data Science from the University of Chicago with a GPA of 3.95, a Bachelor's Degree in Economics and Mathematics from New York University, and a non-degree coursework completion in Computer Science from Columbia University.
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