A data analyst passionate about driving business value through data.
I specialize in statistical modeling, time series forecasting, and machine learning using Python, R, and SQL.
๊นํ์ค(Piljun Kim)์ ๋ฐ์ดํฐ๋ฅผ ํตํด ์ธ์์ ์ดํดํ๊ณ , ์๋ฏธ ์๋ ์ธ์ฌ์ดํธ๋ฅผ ๋์ถํ๋ ๋ฐ์ดํฐ ๋ถ์๊ฐ์ ๋๋ค.
ํต๊ณ ๋ชจ๋ธ๋ง, ์๊ณ์ด ์์ธก, ๋จธ์ ๋ฌ๋ ๊ธฐ๋ฐ ๋ถ์์ ํตํด ์ค์ ๋น์ฆ๋์ค ๊ฐ์น๋ฅผ ์ฐฝ์ถํ๋ ๋ฐ ์ง์คํด์์ผ๋ฉฐ, ๋ค์ํ ํ๋ก์ ํธ๋ฅผ ํตํด ์ค๋ฌด ๊ฒฝํ์ ์์์์ต๋๋ค. ๋ณต์กํ ๋ฐ์ดํฐ ์ ํจํด์ ๋ฐ๊ฒฌํ๊ณ ์ด๋ฅผ ํด๊ฒฐ์ฑ ์ผ๋ก ์ ํํ๋ ๊ณผ์ ์ ์ฆ๊น๋๋ค.
Piljun Kim is a data analyst who makes sense of the world through data.
He focuses on delivering real business value through statistical modeling, time series forecasting, and machine learning. He enjoys uncovering patterns in complex data and has built hands-on experience through a wide range of projects. His goal is to solve real-world problems by combining data, technology, and purpose.
Hallym University
Major : Data Technology(๋ฐ์ดํฐ ํ
ํฌ)
Minor : Clinical Medical Statistics(์์์ํํต๊ณ)
Bootcamp
Code It Data Analyst Track
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๐ฎ LoL ์ฌ์ฉ์ ์ค์ ๊ฒ์ ๊ธฐ๋ฐ MMR ์งํ ๊ฐ๋ฐ ๋ฐ ์ค์ ์๋น์ค ์ ๊ณต
Game Impact Modeling: I used game data to quantify player performance in LoL and designed a custom MMR system. |
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๐ ์งํ์ฒ ํผ์ก๋ ์์ธก
๋ ์จ + ํผ์ก ๋ฐ์ดํฐ๋ฅผ ์ฌ์ฉํ์ฌ ๊ตฌ์ถ๋ XGBoost ๋ชจ๋ธ. Subway Congestion Forecasting: Built XGBoost model using weather + congestion data. |
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๐พ ์ ๊ธฐ๋๋ฌผ ๋ฐ์ ์์ธ ๋ถ์ ํ๋ก์ ํธ
์ฐ๊ด ๊ท์น ๋ถ์ ๋ฐ ์๊ณ์ด ๋ถ์์ ํตํ ํน์ง ๋ฐ ์๋ฐฉ ๋ฒ์ ์ ์ Proposed features and prevention legislation through association rule analysis and time series analysis. |