POPULATION HEALTH • CLINICAL NURSING • DATA-DRIVEN • BUILT ENVIRONMENT • EPIDEMIOLOGY • BIOSTATIsTICS • HEALTH POLICY

As a clinical nurse pursuing a Master of Public Health in Population and Health Sciences, I bridge the gap between direct patient care and population-level health improvement through data-driven approaches. My unique combination of hands-on healthcare experience and advanced training in epidemiology, biostatistics, and health policy enables me to translate complex health data into actionable community interventions. I am particularly passionate about examining the relationship between built environments and community wellbeing, focusing on evidence-based strategies that promote health equity. My goal is to transform public health research through innovative, compassionate, and evidence-based methods that drive sustainable, community-centered solutions. Drawing on my clinical background and emerging expertise in population health sciences, I aim to contribute to groundbreaking research that shapes healthier, more resilient communities for all.

Epidemiological Research • Biostatistical Analysis • Data Visualization • Geospatial Analysis • R and SAS programming GIS software • Clinical Nursing • Population Health • Data Analysis • Health Policy • Project Management • Built Environment

RELEVANT PROJECTS

EDUCATION

University of Michigan – Ann Arbor, MI                                                                                           
Master of Public Health

• Population and Health Science, Applied Epidemiology, Health Policy

University of Central Florida – Orlando, FL
Bachelor of Science in Nursing

LICENSE AND CERTIFICATE

Registered Nurse | BSN, _Nurse Licensure Compact

Advance Cardiac Life Support | American Heart Association

Basic Life Support | American Heart Association

Health Information Privacy and Security | CITI Program, 2024

Human Subjects Research | CITI Program, 2024

Data Science Professional Certificate | Harvard University, 2023

• PH125.1x: R Basics
• PH125.2x: Visualization
• PH125.3x: Probability

Statistical Analysis with R for Public Health | Imperial College London, 2024

• Introduction to Statistics & Data Analysis in Public Health
• Linear Regression in R for Public Health
• Logistic Regression in R for Public Health
• Survival Analysis in R for Public Health