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. 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. All work is conducted in HIPAA-regulated environments with strict data governance standards.
My technical foundation combines strong statistical training with hands-on experience in reporting automation, 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), data warehousing via Snowflake, ETL pipelines, HIPAA-aligned workflows
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 (dissertation submitted, expected May 2026). My background spans financial analysis, policy research, and rigorous quantitative methods — all applied to real-world decision-making.
Experience
QI Evaluator (Analytics / Data Science) — ReDiscover
Lead analytics and reporting automation across six behavioral health programs. Build SQL-based reporting pipelines from CareLogic EHR and Power BI dashboards. Develop and standardize KPI definitions, assess screening and compliance measures, apply PHI-minimizing practices throughout. HIPAA-aligned environments.
Quantitative Research Fellow — University of Kansas
Built reproducible pipelines in Python, R, and Stata for data ingestion, cleaning, and feature engineering under IRB. Applied regularized GLMs, unsupervised methods (clustering, PCA), and causal inference (IPTW, DiD); reported AUC/RMSE with cross-validation.
Quantitative Research Analyst — University of Kansas
Extracted, cleaned, and managed large-scale national longitudinal survey data (Add Health, NCHAT, HRS) under IRB. Applied Python, R, and Stata for advanced statistical modeling including fixed-effects panel models and causal inference (IPTW, DiD), resulting in peer-reviewed publications. Presented at national and international conferences.
Program Evaluation & Data Quality Analyst — Korea Employment Information Service
Built SQL/ETL pipelines linking administrative and survey data for national employment insurance evaluations. Conducted quasi-experimental evaluations (DiD, PSM) and translated findings into policy recommendations for public-sector stakeholders.
Financial Analyst — Kiwoom Securities Co.
Automated daily sector reporting using SQL and VBA. Conducted quantitative analysis of healthcare and pharmaceutical sectors using Bloomberg and FRED data, supporting forecasting and investment decision-making.
Research Assistant — Gyeonggi Province Family and Women Research Institute
Designed and administered survey instruments for multicultural family research. Conducted statistical modeling (regression, logit) using Stata, SPSS, and SAS. Produced analytical reports translating quantitative results into policy insights.
Graduate Research Assistant — Yonsei University
Supported large-scale research on governance, social networks, and inequality funded by the National Research Foundation of Korea. Performed statistical analyses (Stata, R, SPSS) and contributed to publications and conference presentations.
Intern — Samsung SDS
Supported development of data programming courses (SQL, SAS) for non-STEM students. Assisted in preparing and delivering training modules, and contributed to curriculum refinement and quality assurance.
Surveyor — Korean General Social Survey
Administered standardized questionnaires for one of Korea's nationally representative social surveys. Gained foundational experience in survey methodology, sampling strategies, and data quality assurance.
Education
Ph.D. Candidate, Sociology — University of Kansas
Dissertation: Three Studies on Subjective Social Status. Longitudinal analyses using KLIPS, Add Health, and HRS-SSA linked data. Methods include IPTW, RBW, and panel regression. Primary tool: Stata.
M.S. in Applied Statistics, Analytics & Data Science — University of Kansas Medical Center
Quantitative methods, biostatistics, applied machine learning, and statistical modeling for health research.
M.A. in Sociology — Yonsei University
B.A. in Sociology — Kookmin University
Languages & Tools
Programming: SQL, Python (Pandas), Stata, R · BI & Reporting: Power BI (Power Query, DAX), Excel, Tableau · Data Platforms: CareLogic (EHR), Snowflake · Methods: Causal inference, survival analysis, GLMs, longitudinal panel methods · Spoken languages: Korean (native), English (fluent)