Bilingual and detail-oriented biostatistician with an MPH in Biostatistics and hands-on experience in public health research, statistical modeling, and epidemiological analysis. Skilled in applying advanced statistical methods, including logistic regression, longitudinal modeling, and Bayesian approaches, to extract insights from complex health data. Experienced with tools such as R, SAS, Power BI, and SQL to support evidence-based public health initiatives. Committed to improving population health through rigorous data analysis, effective communication, and cross-disciplinary collaboration.
Statistical Programming & Tools
R, SAS, Stata, SQL (basic), REDCap, MEDSIS, Snowflake, Power BI, ArcGIS, Adobe Illustrator, Canva
Statistical Methods & Analysis
Descriptive & Inferential Statistics t-tests ANOVA Chi-square Tests Logistic Regression GLMs Longitudinal & Mixed Models Survival Analysis Bayesian Methods Multiple Imputation Survey Design Model Diagnostics
Data Handling & Reporting
Data Cleaning & Wrangling Reproducible Workflows Dashboard Development Data Visualization Scientific Writing Reporting for Stakeholders
Core Competencies
Analytical Mindset Problem-Solving Attention to Detail Team Collaboration Strong Communication Fast Learner
FDA Food Safety Trainings