About
I am a Healthcare Analytics Specialist at Quest Diagnostics, where I develop evidence-based analytics that help employers and health plans quantify the clinical and economic value of workforce health initiatives. My work focuses on transforming real-world healthcare data into actionable insights that support executive decision-making, population health improvement, and commercial strategy.
I specialize in developing ROI and value demonstration frameworks, conducting population health analyses, health risk segmentation, longitudinal trend analyses, and industry benchmarking using large-scale laboratory and healthcare data. I also produce executive benchmark reports and thought leadership that translate complex healthcare analytics into meaningful business recommendations.
My interdisciplinary background combines a Ph.D. in Sociology from the University of Kansas with an M.S. in Applied Statistics, Analytics & Data Science from the University of Kansas Medical Center. This unique combination allows me to bridge rigorous quantitative methods with practical business applications in healthcare analytics.
Core Competencies
- Healthcare Analytics
- Population Health Analytics
- ROI & Value Demonstration
- Healthcare Benchmarking
- Executive Reporting
- Thought Leadership
- SQL, Python, R & Stata
- Power BI & Tableau
- Snowflake & ETL Pipelines
- Predictive Analytics
- Causal Inference (IPTW, PSM, DiD)
- Machine Learning & Statistical Modeling
Background
Throughout my career, I have worked across healthcare, academia, government, and financial services, applying advanced analytics to solve complex business and policy challenges. My experience spans healthcare analytics, population health, policy evaluation, and quantitative research, with a consistent focus on transforming data into strategic insights that improve organizational performance and health outcomes.
Professional Experience
Healthcare Analytics Specialist — Quest Diagnostics
Develop ROI and value demonstration frameworks that quantify the clinical and economic impact of workforce health initiatives using real-world laboratory data. Produce population health intelligence through cohort analyses, health risk segmentation, longitudinal trend analysis, and industry benchmarking. Author executive benchmark reports and white papers while partnering with Sales, Marketing, Product Management, and Commercial Leadership to translate healthcare analytics into strategic business value.
QI Evaluator (Analytics & Data Science) — ReDiscover
Led analytics and reporting automation across behavioral health programs. Developed SQL pipelines, Power BI dashboards, KPI frameworks, and HIPAA-compliant reporting workflows using CareLogic EHR.
Quantitative Research Analyst — University of Kansas
Designed reproducible analytical workflows using Python, R, and Stata for nationally representative longitudinal datasets. Applied causal inference, longitudinal modeling, and predictive analytics, resulting in peer-reviewed publications and conference presentations.
Program Evaluation & Data Quality Analyst — Korea Employment Information Service
Built SQL and ETL workflows integrating administrative and survey data. Conducted causal impact evaluations supporting evidence-based labor market policy.
Financial Analyst — Kiwoom Securities
Performed quantitative analysis of healthcare and pharmaceutical sectors while automating investment reporting using SQL and VBA.
Education
Ph.D. in Sociology — University of Kansas
Dissertation: Three Studies on Subjective Social Status: Changing Family Dynamics and Individuals' Perception of Social Location.
M.S. Applied Statistics, Analytics & Data Science — University of Kansas Medical Center
M.A. Sociology — Yonsei University
B.A. Sociology — Kookmin University
Technical Skills
Programming & Analytics: SQL, Python (Pandas, scikit-learn), R, Stata · Business Intelligence: Power BI (Power Query, DAX), Tableau, Microsoft Excel · Healthcare Analytics: Population Health Analytics, Health Risk Segmentation, ROI & Value Demonstration, Industry Benchmarking · Data Platforms: Snowflake, SQL Server, Enterprise Healthcare Data · Methods: Statistical Modeling, Predictive Analytics, Causal Inference (IPTW, PSM, DiD), Machine Learning, Longitudinal Analysis · Languages: Korean (Native), English (Professional)