R Programming Language

Analytical and detail-oriented biostatistician with a proven track record in managing and analyzing extensive healthcare and public health datasets using R, Stata, Python, and SAS. Expertise in predictive modeling, causal inference, longitudinal analysis, and data visualization to transform complex data into actionable insights. Demonstrated ability to streamline workflows, automate reporting processes, and advocate for reproducible research methodologies. Collaborative team player with exceptional problem-solving, mentorship, and communication skills, dedicated to advancing data-driven decision-making in global health research initiatives.
R Programming Language
Predictive modeling
Academic advising
Teaching techniques
regression analysis
Student support
longitudinal/multilevel analysis
causal inference
Statistical analysis
data visualization
machine learning
R
SAS
Stata
SPSS
R Shiny
DataWrapper
Excel
Git/GitHub
data cleaning
validation
database administration
REDCap
Statistical analysis
Visualization
Collaborative learning
Transition management
Student engagement
Learning strategies
Needs assessments
Adaptability and flexibility
Analytical thinking
R Programming Language
Stata
SAS
DataWrapper for Visualizations