I am an impact-driven Master of Public Health (MPH) graduate specializing in advanced data curation, statistical database integrity, behavioral health frameworks, and epidemiological trend tracking. My work bridges secure health architectures and actionable, data-driven programmatic insights.
- I am currently engineering the Multicultural Cosmetic Safety Index (MCSI)โa full-stack health informatics pipeline bridging environmental toxicology with population health data. This project transforms raw chemical registries using advanced SQL window functions inside Google BigQuery and develops dynamic risk matrices utilizing Python (Pandas/NumPy) to model chronic skin-barrier vulnerabilities.
- Advanced dataset manipulation, database auditing, and translating complex real-world data (RWD) into executive-ready visualizations.
- REDCap, SQL (Data Querying), Python, NVivo, Tableau, and SPSS. Currently interested in expanding my pipeline architecture capabilities in R, SAS, and Power BI.
- Leveraging computational data analytics to optimize health equity frameworks, workforce safety, and consumer health safety operations globally.