Summary
Eun-jo Lee is an AX Engineer and seasoned data scientist with 10 years building large-scale analytics and anti-fraud systems for games and digital products, currently at RIDI in Seoul. She combines deep expertise in Hadoop ecosystem tooling (Cascading, Pig, Hive), Spark, and statistical modeling with strong software skills in Java, R, Python, C++ and functional programming in Haskell. At NCSOFT she led multiple analytics divisions, delivering churn prediction, behavioral representation learning, causal time-series analysis, and productionized ETL/real-time fraud detection systems. Her work bridges research and engineering: she holds a Ph.D. in Information Security and has driven both algorithmic innovation and operational data platforms. Colleagues describe her as equally comfortable designing distributed pipelines and mentoring teams to turn complex user behavior signals into actionable product insight. An under-the-radar strength is her sustained focus on self-service analytics and tooling that empowers non-engineers to run experiments and derive insights independently.
10 years of coding experience
9 years of employment as a software developer
Ph.D. , Information Security, Ph.D. , Information Security at Korea University
MS, Computer Science, MS, Computer Science at Soongsil University