Brian Kwon

Hi, I’m Brian Kwon—a data scientist who doesn’t just analyze data, but engineers the tools to do it better. With a foundation in statistics and a passion for building, I bridge the gap between analytical insight and scalable code. From machine learning pipelines to full-stack prototypes, my work combines thoughtful research with hands-on development. This portfolio showcases how I turn complex problems into clean, deployable solutions. Outside of academics, I like playing guitar, listening to lots of music, cooking foods, solving Rubik’s cubes, and reading books.

Education

MS in Data Science and Analytics
Georgetown University | Washington, DC | May 2025

• Relevant courses:
  Big Data and Cloud Computing | ML App Deployment | Computer Vision | Applied Gen AI for Developers | Neural Nets and Deep Learning | Data Visualization
  
• GPA: 4.0/4.0

BA in Social Relations and Policy
Statistics Double Major, Data Science Minor
Michigan State University | East Lansing, MI | May 2022

Skills

• Computer: Python, R, SQL, Git, Bash, Poetry, uv, AWS, Azure, Docker, Qualtrics, Quarto, HTML

• Packages: LangChain, PyTorch, Tensorflow, Keras, PySpark, HuggingFace, BeautifulSoup, PyTest, MLFlow, Pydantic, RAGAS, Pinecone, FAISS, Pandas, Scikit-Learn, SciPy, NetworkX, NLTK, Tidyverse

• Visualization: Streamlit, Plotly, ggplot, Matplotlib, Seaborn, Leaflet, Folium, Tableau, Chainlit