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Jun 30, 2024
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😎 Daily
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Aug 26, 2024 03:38 PM
EUNGYEOM HA Seoul, Korea | (+82)10-5363-7984 | eungyeom_ha@yonsei.ac.kr (dign7984@gmail.com)
 
 
EDUCATION
Yonsei University, Seoul, Korea                                                                                                     Aug 2024
M.S. in Industrial Engineering
Korea University, Sejong, Korea | Seoul, Korea                                                                           Feb 2022
B.S. in Big Data Science | B.S. in Industrial & Management Engineering
Honors: Academic Excellence (2018-1, 2018-2, 2019-1, 2021-1)
 
PROFESSIONAL EXPERIENCE
LG Uplus, Seoul, Korea                                                                                                Feb 2021 – Oct 2021
Administrative Assistant (Part-Time), NW Big Data
  • Enhanced customer experience quality and operational efficiency by analyzing network big data, identifying key performance metrics, and implementing data-driven strategies to optimize service delivery
  • Led the execution of big data projects in collaboration with cross-functional teams, focusing on real-world applications
 
RELEVANT PROJECTS / ACTIVITIES
Smart Systems Lab                                                                                                     Feb 2022 – Aug 2024
Yonsei University Department of Industrial Engineering
Society of Python Data Analytics AI & Deep-Learning                                        Jun 2023 – Dec 2023
Seoul Software Academy
LG Aimers / Data Intelligence                                            Jan 2023 – Feb 2023 / Jul 2023 – Aug 2023
LG AI Research Center / Ministry of Employment & Labor
Korea University Machine Learning / Big-Data Scholar’s Club (KUBIG)       Mar 2020 – Dec 2020
Korea University
 
PUBLICATIONS
Anomaly Detection in Multi-Modal Cloud System Monitoring Data Using Normalizing Flows, Eungyeom H
Yonsei University Department of Industrial Engineering
Time Series Anomaly Detection Using Flow-Based Generative Models for Multi-Modal Data, Eungyeom H, Wooju K
KISS 2024
HOD: New Harmful Object Detection Benchmarks for Robust Surveillance, Eungyeom H, Heemok K, Sung Chul H, Dongbin N
WACV Workshop 2024: Real-World Surveillance Application and Challenges, 4th
 
AWARDS & ACHIEVEMENTS
Python Data Analysis & AI Program, Outstanding Leadership Award                                  Nov 2023
Seoul Business Agency
IE FIELD, Most Outstanding Award                                                                                               Aug 2020
Korea Institute of Industrial Engineers
 
EXTRACURRICULAR ACTIVITIES
2023 WISET-IBM Korea Global Mentoring, Mentee                                             Sep 2023 – Dec 2023
WISET / IBM Korea
Korea University 31st Student Council, External Affairs                                        Nov 2017 – Nov 2018
Korea University (Sejong Campus)
 
SKILLS & TOOLS
  • Computer Skills: Python (PyTorch, Tensorflow, Keras), SQL, R, SPSS, SAS, C, C++, Linux
  • Language Skills: Korean (Native), English (Business Proficiency)