Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
SEONMIN KIM

SEONMIN KIM
Data Risk Analyst, LINE

Website

Seonmin Kim is a senior data risk analyst at LINE, where he’s a key member of the trust and safety team that handles payment fraud and content abuse using data analytics. He has over nine years of extensive experience identifying fraud and abuse risk across various business domains. His primary focus is on AI and machine learning for payment fraud and abuse risk.

Sessions

12:0512:45 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
SEONMIN KIM (LINE)
Average rating: ****.
(4.00, 6 ratings)
Seonmin Kim offers an introduction to activities that mitigate the risk of mobile payments through various data analytical skills, drawn from actual case studies of mobile frauds, along with tree-based machine learning, graph analytics, and statistical approaches. Read more.