Employment

  • Hana Bank, AI Big Data Center
    • Data Scientist. Aug 2019 - Present

Education

  • Department of Statistics, Hankuk University of Foreign Studies (HUFS)
    • Bachelor of Statistics. Mar 2012 - Feb 2018
  • Department of Statistics, Sungkyunkwan University (SKKU)
    • Master of Statistics. Mar 2018 - Feb 2020

Research Interests

  • Predictive Modeling
    • Latest algorithms
    • Statistical Modeling
  • Deep Learning and Machine Learning
    • Image Processing
    • Anomaly Detection
    • Text Analysis, Sentiment Analysis, Natural Language Processing
  • Applications
    • Recommendation Systems
    • Explainable, Interpretable AI
    • Deployment of ML model(Django, Flask, Shiny)
  • Data visualization
  • Statistical Analysis

Research Experiences

  • Industrial Statistics Lab at SKK Univ. (2018.6 ~ 2019.07), advised by Prof. Youngdeok Hwang
    • Demand Prediction of a Newly Scheduled Line Using The Passengers’ Getting On and Off Data : Focused on Gangbuk Crossing Line
    • Development of personalized care ICT platform for chronic metabolic disease

Work Experiences

  • Research & Develop, Hana Bank, Seoul, South Korea

    • Business strategy planning support
      1. Retail Marketing Support and MyData Business Preparation
      2. Planning mid- to long-term roadmap and direction plan (milestone)
    • Development of churn prediction model to increase Hana OneQ MAU
      1. Target group selection according to marketing importance using clustering
      2. Differential marketing method proposal according to the type of churn & using pattern
    • Analysis about core customer’s behavior
      1. Omni channel comparative analysis
      2. Profiling analysis
      3. Explanatory data analysis

    • Development credit rating for SOHO Commerce by the Korea Financial Services Agency(~ing)

    • Loan Limit Estimation Model Using Baemin Data(~ing)

    • Business Process Mining using Log Data from Employees

    • Development of Overseas Remittance Time Prediction Model(88 banks in 18 countries)

    • Development of Recommended Model for Savings Products

    • 2019 Hana Bank report made through Big Data

    • Text analysis using customer satisfaction survey (VoC) data

    • Development of Korean handwriting recognition model and real-time service

Papers

  • 손광민. “지하철 이용객 개별 승하차 데이터를 이용한 신설예정노선 수요예측” VOL.- NO.- (2020)
  • 손광민, 방준아, 황영덕. “지하철 이용객 개별 승하차 데이터를 이용한 지하철 혼잡도 추정” 한국통계학회(2019)
  • 방준아,손광민,이소정,이현근,조수빈. “서울 치킨집 폐업 예측 모형 개발 연구” 한국빅데이터학회 학회지 VOL.3 NO.2 (2018):35-49

Programming Skills

  • Python, Tensorflow
  • R, Rstudio
  • SQL
  • A little Web programming skills & JAVA

Posts

Honors

  • 공로상, Hankuk University of Foreign Studies, 2018

Patent

  • “AI필체인식모형”
  • “AI해외송금소요시간예측모형”

misc