jaehyeong.net
KAIST · class of 2026

A notebook for strategy, data, / and the box score.

박재형 — KAIST BTM + Computer Science. I read companies the way I read game logs: slowly, with too many tabs open. This site is the working draft.

~/jaehyeong.net — zsh
01 · About

A double-major built around the same question.

BTM teaches how firms decide; CS teaches how to ask data the same question and get an answer back. I spend most of my time in the overlap — and a non-trivial fraction of it on baseball.

Park Jaehyeong scuba diving
Cebu, 2024 · open-water cert dive

Education

  • KAIST · B.S. in Business & Technology Management + Computer Science
    2018 — 2026 (expected)
  • Coursework: corporate strategy, applied econometrics, ML systems, microeconomics, algorithms.

Interests

  • · Corporate strategy — pricing, moats, capital allocation
  • · Data analysis — small-sample inference, tidy pipelines
  • · Baseball analytics — KBO mostly, MLB by reference
  • · Economics — monetary policy, labor markets

Stack

PythonRStata
otherwise — jiu-jitsu, swimming, lifting · (past) crossfit, olympic lifting
04 · Contact
Say hello

I read everything that lands in this inbox.

Open to strategy & analyst roles, baseball-data projects, or a coffee in Daejeon / Seoul. Bring a question.