Data Analysis
Data cleaning and validation, descriptive statistics, hypothesis testing, linear and multivariable regression, statistical interpretation, data visualization, and data management
Software and Platforms
Stata, R, SQL, Amazon QuickSight, Microsoft Excel, Python (developing proficiency), Microsoft 365, and SharePoint
Epidemiology and Public Health
Applied epidemiology, epidemiologic study design, disease prevention, population health research, health disparities, social determinants of health, healthcare access, and public health informatics
Research Methods
Literature and scoping reviews, qualitative research, semi-structured interview development, clinician interviews, research synthesis, study protocol development, and scientific reporting
Data Quality and Documentation
Data quality assessment, data cleaning and validation, quality assurance and quality control, technical documentation, data definitions, process documentation, and troubleshooting
Communication
Scientific writing, research reports, data presentations, technical guides, stakeholder presentations, cross-functional collaboration, and communicating complex findings to diverse audiences
Applying My Skills
I have applied Stata and R in academic research and used SQL Server and Amazon QuickSight for healthcare data management, validation, and dashboard development. I am continuing to build my Python programming skills while strengthening my knowledge of statistical methods and reproducible analytical workflows. Across projects, I emphasize data quality, methodological accuracy, and clear communication of findings.
Languages
English
Fluent
Vietnamese
Fluent
Spanish
Intermediate