Holf Yuen

Holf Yuen

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Home Credit Default Risk

- Analyzed a 688MB dataset of 350,000 loan application records from Home Credit Group and tens of millions of entries of supporting payment and credit balance data to predict potential repayment difficulties - Applied feature transformation and Light Gradient Boosting to build a model with AUC of 0.77


Skills and qualities

Data analysis

0

Risk Management

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Jupyter Notebook

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SQL

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Natural Language Processing

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Accomplishments/Portfolio

Home Credit Default Risk

Data Science for Good: DonorsChoose.org

Data Science for Good: Kiva Crowdfunding

Machine Translation Project

What Makes a Popular TED Talk?

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