Jeon Sanghyun is a Senior Data Scientist based in South Korea with eight years of experience building production ML systems across banking, analytics, and embedded automotive domains. At Kakaobank he focuses on fraud detection and user-behavior modeling, leveraging deep learning and NLP techniques alongside social network and topic analysis expertise developed through earlier roles. His background spans full-data lifecycles—from real-time feature engineering on Spark to research-grade experiments in generative models and link prediction—and includes hands-on experience with Hadoop, C/C++, Java, and Python. He co-founded a lab working on network structure and social targeting, and previously developed driver activity segmentation for in-vehicle infotainment, a less-obvious blend of privacy-sensitive biosignal work and applied ML. Trained at Sogang University (BS/MS in Computer Science), he brings a hybrid research-to-production mindset suited to fraud, recommendation, and network-analysis challenges.
8 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sogang University
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