About Me

Hello, World!

Hello, I am Shaun Kim

I am a Data Scientist at Capital One. I recently graduated from Columbia University with a Master's degree in Statistics. I went to the Univeristy of Virginia for my Bachelors in Computer Science and Statistics. I live all across the globe - South Korean by nationality, lived in Hong Kong, Austria, and the United States. During my free time, I love drawing, going to exhibitions, and learning make-up from the beauty gurus.

I am passionate about data and its applicability. My primary interest lies in the applications of Machine Learning and Artificial Intelligence in variety of industries. I am currently working at Capital One as a Data Scientist. I previously worked at Gentine Lab at Columbia as a graduate researcher, and I have interned as a Machine Learning Engineer at Naver Corp.

Python
R
SQL
Java
Various ML Libraries: Sklearn, PyTorch, Tensorflow

Experience

Some of my relevant work/research experience

Student Researcher

Gentine Lab | Columbia

Created ML models to predict ocean CO2 flux using traditional ML algorithms and image segmentation models.

Machine Learning Engineer Intern

Naver Corporation

Filtered toxic replies from their News platform along with various NLP tasks. First-ever real work experience !

Undergraduate Teaching Assistant

Machine Learning | UVA

Worked with a team of TAs and professor to build out course material. Held Office Hours (always fun).

Undergraduate Researcher

McIntire School of Commerce | UVA
Boichuk Lab

Does Corporate Social Responsibility lead to profitable business? Yes! Did a lot of journal review and data analysis.

Product Management Intern

Darden School of Business

Worked with marketers, content owners and developers to created the current darden website.

My Projects

These are some of my projects that I have been working on since I started coding. Please enjoy!
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Covid-19 Air Travel

Iteractive visualization on the Impact of Covid-19 on Air Travel
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Machine Learning Compilation

Just a compilation of all ML related things for self-reference in the future.
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Ocean CO2 Prediction

Global Ocean CO2 Prediction using Image Segmentation and Traditional ML algorithms
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Today I learned

A challenge to learn something everyday for the next 100 days!
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Crowdsource Data Platform

Allows users to collect/submit/rate data via crowdsourcing