Juhong Park is a data analyst and engineer with 10 years of experience building production-grade data platforms and AI-driven analytics across gaming, finance, and healthcare. He has led data divisions at Devsisters—scaling infrastructure, cutting analysis time by 80%, and improving marketing ROI and retention through customer-behavior modeling—and later applied those ML skills to clinical genomics and readmission prediction at Seoul National University. As a consultant at BCG he translated AI and digital strategies into implementable plans for major clients, and most recently led a corporate bond spread prediction project in a high-profile national fintech program. Trained at KAIST, Seoul National University (Biostatistics MPH), and MIT SDM, he blends rigorous quantitative methods with systems-level design thinking. Comfortable moving from serverless AWS architectures to deep learning and explainable AI, he brings both hands-on engineering chops and the leadership to turn data science into measurable business outcomes. Notably, his background in robot vision on GitHub hints at an ongoing interest in real-time perception systems beyond tabular and clinical applications.
10 years of coding experience
9 years of employment as a software developer
Master of Public Health - MPH, Biostatistics, Master of Public Health - MPH, Biostatistics at 서울대학교 (Seoul National University)
Master of Science - MS, Engineering and Management, Master of Science - MS, Engineering and Management at Massachusetts Institute of Technology
Bachelor of Science - BS, Mathematical Sciences (Certificate in Applied Mathematics), Bachelor of Science - BS, Mathematical Sciences (Certificate in Applied Mathematics) at Korea Advanced Institute of Science and Technology
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