Myeonghak Lee

Data Scientist at Hyundai Card•Hyundai Capital•Hyundai Commercial
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Contact Information
us****@****om
(386) 825-5501
Location
Seoul, Seoul, South Korea, KR
Languages
  • 영어 Professional working proficiency

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Bio

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Credentials

  • AWS Solutions Training for Partners: Machine Learning (ML) on AWS for ML Practitioners
    Amazon Web Services (AWS)
    Feb, 2021
    - Nov, 2024
  • Advanced Data Analytics Semi Professional
    Korea Data Agency
    Dec, 2019
    - Nov, 2024
  • SAS Certified Base Programmer
    SAS
    Feb, 2019
    - Nov, 2024
  • TensorFlow Developer Certificate
    TensorFlow Certificate Program
    Jan, 2021
    - Nov, 2024

Experience

    • South Korea
    • Financial Services
    • 200 - 300 Employee
    • Data Scientist
      • Apr 2021 - Present

      Machine Learning Engineer working on recommender systems - Working on Large Language Model (LLM) based Recommender - Developed GNN (Graph Neural Network) Based Recommender Models - Stacks: Pyspark, Tensorflow, Scikit-learn, langchain Machine Learning Engineer working on recommender systems - Working on Large Language Model (LLM) based Recommender - Developed GNN (Graph Neural Network) Based Recommender Models - Stacks: Pyspark, Tensorflow, Scikit-learn, langchain

    • Machine Learning Engineer
      • Jan 2020 - Mar 2021

      B/K 카드사 구매내역 활용 DMP 구축 프로젝트딥러닝 자연어처리 기반 상품 카테고리 분류 시스템 개발Built a deep learning (transformer model) NLP based product categorization system using card transaction data for DMP(Data Management Platform)온라인 타겟팅 광고 추천 알고리즘 개발 및 최적화Developed recommender system for online targeted advertisements S-oil 출하량 수요 시계열 예측 모델 개발Participated in development project building oil demand prediction time-series ML system한국벤처투자 벤처캐피탈 벤처/펀드 매칭 추천시스템 개발Built a recommender system to improve matching rate between VC and startups항공사 VoC 주제 분류/태그 추출 자연어 처리 모델 개발Developed a VoC categorization and keyword extraction engine using BERT(pre-trained language model) Show less

    • Data Analyst
      • Oct 2019 - Dec 2019

      [삼성물산 패션부문] 데이터 마케팅 프로젝트 투입- 머신러닝 기반 고객 이탈 예측 모형, 온라인 구매 전환 예측 모형 개발- 데이터 파이프라인 최적화 작업 수행Participated in data-driven targeted marketing project at Samsung C&T- Developed purchase and churn prediction machine learning model using XGBoost- Improved preprocessing data pipelines

Education

  • Hankuk University of Foreign Studies
    Bachelor's degree, Economics
    2012 - 2020
  • Hankuk University of Foreign Studies
    Bachelor's degree, Scandinavian Languages
    2012 - 2018

Community

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