About

I am a healthcare data analyst with 3+ years of experience turning behavioral health and clinical data into actionable insights for operational and program decision-making. I specialize in SQL-based data pipelines, Python analysis, and Power BI dashboard development.

Currently, I lead analytics across six mental health programs at a behavioral health organization, where I build Power BI dashboards and SQL-based reporting pipelines from CareLogic to automate recurring performance and compliance reporting, including quarterly and semiannual reports and Suicide Prevention Protocol (SPPC) reporting workflows. My work gives clinical and operational leaders more timely access to program, engagement, and outcome metrics. I also develop KPI frameworks, track clinical outcomes, and analyze access, follow-up, and service utilization patterns to identify improvement opportunities.

My technical foundation combines strong statistical training with hands-on experience in data engineering, causal inference, and applied analytics. I have extensive experience working with large-scale longitudinal datasets, EHR systems, and administrative data. My academic training in quantitative methods strengthens my ability to design rigorous analyses and communicate findings to non-technical audiences.

Core Competencies

• SQL (window functions, CTEs, performance tuning), Python (Pandas, scikit-learn)
• Power BI (Power Query, DAX, dashboard automation), Tableau, Excel
• GLMs, survival analysis, hypothesis testing, causal inference (DiD, IPTW)
• EHR data (CareLogic), ETL pipelines, deduplication, HIPAA-aware reporting

Background

Before transitioning into healthcare analytics, I worked as a financial analyst and program evaluator in Korea, building reporting automation and conducting policy impact evaluations. I hold an M.S. in Applied Statistics and am completing a Ph.D. in Sociology at the University of Kansas. My background spans financial analysis, policy research, and rigorous quantitative methods—all applied to real-world decision-making.