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Kwun Chen · Data Science
Kwun Chen

Data Science + Statistics at UC Berkeley. I build pipelines that make noisy data usable.

welcome.txt

Hey, I’m Kwun.

Data usually shows up loud and messy. My job is calming it down until someone can make a decision with it.

I study Data Science and Statistics at UC Berkeley (Public Policy minor, class of 2029). This past summer I was at Air Combat Command building data pipelines for Air Force leadership, and these days I do data engineering for Anyscale.

See my projectsExperience
data_is_loud.exe

Data is loud. Hold the button (or press and hold the ring) to calm it down until a signal comes through.

Noise 100%

No signal yet: everything is still noise.

Projects
  • Electronic stock ticker boards showing bid, offer and last prices in red and green LEDs

    Slack the Tape

    In progress

    An LLM assistant that lets anyone ask questions about market data in Slack

    • Python
    • DuckDB
    • SQL
    • MCP
    • Slack
    • Linux
  • Three F-15 Eagles flying in formation against a pale sky

    Military Aircraft Activity Pipeline

    Complete

    Live ADS-B telemetry turned into clean, analysis-ready flight features

    • Python
    • Polars
    • Pydantic
    • DuckDB
    • Prefect
experience.log
  • AnyscaleData Engineering ConsultantSep 2026 – Present
  • Air Combat Command (U.S. Air Force)Data Science & Automation InternMay 2026 – Aug 2026
  • SawyerProduct & Research ConsultantFeb 2026 – May 2026
  • Air Force ROTC Detachment 085Lead EngineerOct 2025 – Present
Read the details