Snapshot
What I do.
Applied data work that moves from messy inputs to clear outputs.
Skills
Technical stack.
Grouped for quick scanning.
Code
Python
R
SQL
SPSS
GitHub
Analysis
pandas
scikit-learn
statsmodels
dplyr
ggplot2
AI
LLM prompting
Custom GPTs
Chatbots
Workflow design
Quality checks
Work
Portfolio snapshot.
Three examples of the work pattern: data, method, output.
HIV survey models
Cleaned survey data, handled skip logic, built model-ready variables, and exported tables.
Output: Reproducible Python/R analysis files.
Applied AI workshops
Prompt design, chatbot setup, AI-generated text and image workflows, and output review.
Output: Practical workflows for teams.
Reports and grants
Program data summaries, evaluation plans, grant reports, and presentation-ready findings.
Output: Clear materials for decisions.
Fit
Best-fit roles.
Applied data science roles where domain knowledge and communication matter.
Applied AI Data Scientist
Public Health Data Scientist
Research Data Scientist
Evaluation Data Scientist
Responsible AI Specialist
AI Training Lead
CV
At a glance.
Full detail is in the CV PDF.
Education
PhD, MEd, MS, BA
Academic
Public health appointment
Data
Methods and reporting
Grants
PI and Co-PI work
Teaching
Stats, AI, writing
Service
Review and leadership
Research
Selected examples.
Short enough to scan, specific enough to place the work.
HIV status in Bexar County
PLOS ONE article on HIV status, sociodemographics, and sexual behavior.
Resilience and trauma
Collaborative public health article using a group-based approach.
The State of HIV
Doctoral dissertation on the Ending the HIV Epidemic initiative.