Sangho Lee

I’m a MS student of data science at Seoul National University. Worked at Samsung Electronics forecasting demand of mobile devices and semiconductor, analyzing usage of mobile services (Samsung Pay, Bixby, etc.) for years. Worked as AI engineer at Carrot insurance.

Biography

2021 - present: Master student of data science at Seoul National University
2020 Dec - 2021 Jul: Machine learning engineer at 11street
2019 Nov - 2020 Nov: AI engineer at Carrot Insurance
2013 Jul - 2019 Oct: Data analyst at Samsung Electronics
2006 Mar - 2013 Aug: BSc at the Korea University (computer science and mathematics)

Research Interest

  • Video representation learning
  • Generative modeling

Highlights

  • Proficient programming skills in Python, C++, R and SQL
  • Experience with building advanced statistical methods including neural networks predictions in a big data environment
  • Experience with dealing both structured and unstructured data (Image, video, text, etc.)
  • Comprehensive knowledge of Calculus, Linear algebra, Probability, Computational algorithms and Dynamic programming
  • Self-motivated and consistently strive to improve performance

Skills and Certification

  • Programming: Advanced in Python with Pytorch, Tensorflow, Keras and Scikit-Learn, Intermediate in C++ in Linux/Windows
  • Mathematics: Statistics, Linear algebra, Numerical analysis, Differential equation
  • Data: Statistical understanding of structured/unstructured data (Image, video, text, etc.), preprocessing, analyzing and modeling
  • Paper Implementation: Review and Implement ML/Deep learning papers (github.com/puhuk)
  • Scholarship: National Science and Engineering Scholarship (Mar.2006~ )
  • Others:
    • OpenUP (Korea national opensource support center) frontier developer (Jun.2021 ~ )
    • Deep learning project mentoring (AI bootcamp by Ministry of Employment and Labor w/ Samsung Multicampus & SK) (Nov.2019 ~ )
    • Google machine learning bootcamp (Jan.2021)
    • Tensorflow Developer Certificate (Oct.2020)
    • Sales forecast competition contest top 10% model (Samsung Electronics) (Sep.2019)

Work Experience

Dec.2020 - 2021.Jul
Machine learning engineer @11 Street (E-commerce)
Seoul, Korea

  • Role: Improve search model

Nov.2019 ~ 2020.Dec
AI engineer @Carrot insurace (Insurance)
Seoul, Korea

  • Role: Insurance product development based on deep-learning technology
  • Project
    • Develop crack detection AI model for mobile phone insurance (Dec.2019~)
      • AI detection model to detect crack on customer’s mobile device
      • Extracts frames from videos and classifies screens, detects crack on the devices with CNN models
        (http://www.joseilbo.com/news/htmls/2020/08/20200803403275.html)
    • AI module implementation for classifying dog breed in Pet insurance (Jun.2020~)
      • Develop dog breed classification model

Jul.2016 ~ Oct.2019
Data analyst @Samsung Electronics AI team (Manufacturer)
Suwon, Korea

  • Role: Statistical analysis of user data and usage prediction (Samsung Pay, Bixby)
  • Project
    • Bixby user utterance analysis and market response prediction
      • Analyze usage data of Bixby from European market with natural language processing algorithms - Prioritize services / languages in each market for increasing retention rate and number of active users - 15% increase in Monthly Active Users has achieved
    • Service promotion strategy planning
      • Market clustering based on usage data and prioritize marketing target and planning for global expansion - Analyze correlation between each factor from usage/market data
    • Bixby / Samsung Pay business model setup
      • Predict user and amount of each service per countries based on historical data (Device expansion, churn rate, etc.)

Jul.2013 ~ Jun.2016
Data analyst @Samsung Electronics Procurement team (Manufacturer)
Suwon, Korea

  • Role: Semiconductor demand forecasting
  • Project:
    • Demand prediction based on product lifecycle, market response, sales history and seasonality
      • KNN clustering for market/semiconductor segmentation, Linear regression for long-term prediction
      • Prioritize semiconductors supply chain by with device/semiconductor correlation analysis
      • Stock amount decreased (over 10%) and Just-In-Time score has increased