Summary
Overview
Work History
Education
Skills
Timeline
Interests
Projects
Generic
SeongHun Jeong

SeongHun Jeong

Data Analyst
Pohang-si

Summary

I am eager to embark on a journey as a Data Analyst. I have a strong interest in and capability for data processing, storage, transmission, and analysis. Throughout various projects, I have utilized technologies and visualization tools such as Python, SQL, and Tableau for data analysis. To highlight my problem-solving skills, I have experience in resolving issues that arise during complex data processing tasks. I possess effective collaboration and communication skills with team members. I am passionate about contributing to business and society through data and am committed to continuously developing my capabilities as a Data Analyst.

Overview

2
2
years of professional experience
2
2
Languages
6
6
years of post-secondary education

Work History

Data Analyst

Research Institute Of Industrial Science&Technolgy
04.2022 - 12.2023
  • Optimized production processes by analyzing bio-ink DNA and protein quality data.
  • Collaborated with cross-functional teams to enhance product quality and efficiency
  • Implemented predictive models to forecast product quality and improve manufacturing processes

Education

Bachelor of Science - Computer Engineering Technology

Kumoh National Institute of Technology
Gumi, South Korea
03.2017 - 08.2019

Associate of Science - Computer Engineering Technology

BUSAN INSTITUTE OF SCIENCE AND TECHNOLOGY
Busan, South Korea
02.2013 - 02.2017

Skills

SQL

Timeline

Data Analyst

Research Institute Of Industrial Science&Technolgy
04.2022 - 12.2023

Bachelor of Science - Computer Engineering Technology

Kumoh National Institute of Technology
03.2017 - 08.2019

Associate of Science - Computer Engineering Technology

BUSAN INSTITUTE OF SCIENCE AND TECHNOLOGY
02.2013 - 02.2017

Interests

Crossfit

Online Poker Game(WPT Asia)

Projects

  • Duration: 2024.03~2024.04
  • Project Name: Led a Production Process Optimization Project
  • Project Description: Proposed an optimized process to eliminate defects in semiconductor manufacturing
  • Project Details

        -  Reduced the defect rate from 15% to 3% through optimized process

        -  Conducted training using Machine Learning with XGBoost

        -  Developed a simulator based on XGBoost using Streamlit

        -  Explored optimized processes through iterative work with the simulator

        -  Implemented the optimized processes into the existing production line after exploration

SeongHun JeongData Analyst