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kimpiljun/README.md

๐Ÿ‘‹ Hi, I'm Piljun Kim (๊น€ํ•„์ค€)

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.


๐Ÿ“ Summary

๊น€ํ•„์ค€(Piljun Kim)์€ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์„ธ์ƒ์„ ์ดํ•ดํ•˜๊ณ , ์˜๋ฏธ ์žˆ๋Š” ์ธ์‚ฌ์ดํŠธ๋ฅผ ๋„์ถœํ•˜๋Š” ๋ฐ์ดํ„ฐ ๋ถ„์„๊ฐ€์ž…๋‹ˆ๋‹ค.
ํ†ต๊ณ„ ๋ชจ๋ธ๋ง, ์‹œ๊ณ„์—ด ์˜ˆ์ธก, ๋จธ์‹ ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ๋ถ„์„์„ ํ†ตํ•ด ์‹ค์ œ ๋น„์ฆˆ๋‹ˆ์Šค ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๋Š” ๋ฐ ์ง‘์ค‘ํ•ด์™”์œผ๋ฉฐ, ๋‹ค์–‘ํ•œ ํ”„๋กœ์ ํŠธ๋ฅผ ํ†ตํ•ด ์‹ค๋ฌด ๊ฒฝํ—˜์„ ์Œ“์•„์™”์Šต๋‹ˆ๋‹ค. ๋ณต์žกํ•œ ๋ฐ์ดํ„ฐ ์† ํŒจํ„ด์„ ๋ฐœ๊ฒฌํ•˜๊ณ  ์ด๋ฅผ ํ•ด๊ฒฐ์ฑ…์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ณผ์ •์„ ์ฆ๊น๋‹ˆ๋‹ค.

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.


๐ŸŽ“ Education

Hallym University
Major : Data Technology(๋ฐ์ดํ„ฐ ํ…Œํฌ)
Minor : Clinical Medical Statistics(์ž„์ƒ์˜ํ•™ํ†ต๊ณ„)

Bootcamp
Code It Data Analyst Track


๐Ÿ› ๏ธ Main Stacks

๐Ÿ—„๏ธ Programming Languages & Databases & Data Warehousing

Python R MySQL Google BigQuery

๐Ÿ–ฅ๏ธ Development Environment & Tools & Communication

Visual Studio Code Visual Studio Linux Confluence Discord Google Docs

๐Ÿ”ƒ Version Control

Git GitHub


Main Project

MMR ๋Œ€ํ‘œ ์ด๋ฏธ์ง€ ๐ŸŽฎ LoL ์‚ฌ์šฉ์ž ์„ค์ • ๊ฒŒ์ž„ ๊ธฐ๋ฐ˜ MMR ์ง€ํ‘œ ๊ฐœ๋ฐœ ๋ฐ ์‹ค์ œ ์„œ๋น„์Šค ์ œ๊ณต
Game Impact Modeling: I used game data to quantify player performance in LoL and designed a custom MMR system.

MySQL Python Visual Studio Code Confluence
์ง€ํ•˜์ฒ  ํ˜ผ์žก๋„ ์˜ˆ์ธก ์ด๋ฏธ์ง€ ๐Ÿš‡ ์ง€ํ•˜์ฒ  ํ˜ผ์žก๋„ ์˜ˆ์ธก
๋‚ ์”จ + ํ˜ผ์žก ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌ์ถ•๋œ XGBoost ๋ชจ๋ธ.
Subway Congestion Forecasting: Built XGBoost model using weather + congestion data.


Python XGBoost Visual Studio Code
์œ ๊ธฐ๋™๋ฌผ ๋ถ„์„ ๋Œ€ํ‘œ ์ด๋ฏธ์ง€ ๐Ÿพ ์œ ๊ธฐ๋™๋ฌผ ๋ฐœ์ƒ ์š”์ธ ๋ถ„์„ ํ”„๋กœ์ ํŠธ
์—ฐ๊ด€ ๊ทœ์น™ ๋ถ„์„ ๋ฐ ์‹œ๊ณ„์—ด ๋ถ„์„์„ ํ†ตํ•œ ํŠน์ง• ๋ฐ ์˜ˆ๋ฐฉ ๋ฒ•์•ˆ ์ œ์•ˆ
Proposed features and prevention legislation through association rule analysis and time series analysis.


Python R RStudio

๐Ÿง‘โ€๐Ÿ’ป Contact Me

Instagram Notion Gmail

Pinned Loading

  1. MMR_project MMR_project Public

    LOL(league of legend) ์ „์  ๊ฒ€์ƒ‰ ์„œ๋น„์Šค ์ œ๊ณต

    Jupyter Notebook

  2. Weather-Prediction-Subway-Congestion-XGBoost-Experimental-Machine Weather-Prediction-Subway-Congestion-XGBoost-Experimental-Machine Public

    ๊ธฐ์ƒ ๋ฐ์ดํ„ฐ์™€ ๋จธ์‹ ๋Ÿฌ๋‹(XGBoost)์„ ํ™œ์šฉํ•˜์—ฌ ํ˜ผ์žก๋„๋ฅผ ์˜ˆ์ธก

    Jupyter Notebook

  3. Analysis-of-organic-animal-status Analysis-of-organic-animal-status Public

    Geospatial + temporal trend analysis with R