Statistical depth
meets business impact.

My background is in statistics, with a graduate focus on spatial and Bayesian methods. After my BSc at Dongguk University, I joined HD Hyundai Medi Plus, the digital healthcare arm of HD Hyundai, where I spent three years on applied analytics across consumer, B2B, and clinical product lines.

The work split roughly into three areas. First, defining what an active member looks like for a digital health app and operationalising KPI metrics, retention, and churn through Power BI dashboards used in weekly executive review. Second, building an end-to-end healthcare cost prediction model on five years of Korea Health Panel data, using random effects regression layered with ensemble learning. Third, partnering with Kyobo Life Insurance on the clinical validation and B2B dashboarding for their Employee Assistance Program launch.

In parallel I'm finishing my MS in Applied Statistics at Hanyang University under Prof. Jungsoon Choi, with two arXiv preprints on spatial optimisation, a research internship at Academia Sinica on nonparametric bootstrapping for spatial point patterns, and a Workshop on Spatial Statistics 2025 talk.

I'm now looking for analyst, data scientist, or statistician roles in Australia. Open to most domains where rigorous quantitative work translates into real business or policy decisions.