Ted Kim (Seonmin Kim)

I’m an abuse & fraud analyst with over 8 years of technical, project management and leadership experience.

I love building things & exploring new ideas.

Global fraud analyst

  • Utilizes various statistical methods to detect Individual and Organized crimes in the mobile payment.

    • Individual fraudster – Traditional Machine Learning(Tree-based) classification model.

    • Organized crime – Graph analytics for marketing fraud and money laundering.

    • Whitelist model – The whitelist processing model through statistical analysis to increase the financial usage limit of the normal user and reduce the false positive ratio of the fraud detection.

Global abuse analyst

  • Analyzes various service abuse cases in mobile platform

    • Service abuse detection - Mobile game bot detection

    • Anomaly detection - Security event anomaly detection

Project Management

  • Reviews & Evaluates performance of third party products related to data analysis and abuse detection.

Global Conference Talks

  • Nexon Developer Conference 2017 (Korea)

    • Detection of mobile game bot by using traditional machine learning.

  • Elastic On Tokyo 2017 (Japan) – Invited

    • Detecting abnormal behavior using data analysis in a large number of server synchronizations.

Key skills

  • Data analysis, Machine learning, Pattern recognition, statistical analaysis(approach)