Data Analyst / Scientist focused on modernizing the data process for public health
Minnesota, USA | 🔗 LinkedIn
I'm a Public Health Data Analyst at ICF International working as a CDC contractor, where I develop custom ESSENCE queries for national databases, build PySpark data pipelines, and create Quarto dashboards/reports for national public health surveillance. With 5+ years of experience in public health data analysis, I'm passionate about using data to improve health outcomes at scale. Currently invovled with the National Syndromic Surveillance Project.
Recently completed my MS-DS at the University of Colorado, Boulder. Education focus included machine learning, causal inference, and bayesian statistics.
Languages & Frameworks
- R (Shiny, tidyverse, echarts4r, ggplot, and more)
- Python (PySpark, pandas, scikit-learn, TensorFlow, altair)
- SQL
Data & Visualization
- PowerBI
- rShiny
- Quarto
- Rmarkdown
Domains
- Public health surveillance
- Machine learning & deep learning
- Bayesian Statistics
- M.S. in Data Science - University of Colorado Boulder 2025
- Coursework includes: Machine learning, neural networks, causal inference, precision medicine analytics
- Coursework includes: Machine learning, neural networks, causal inference, precision medicine analytics
- B.S. in Biology - Lafayette College 2020
- Courswork includes: Ecology, genetics, environmental science, evolution, and more.
- Research focus: Entomology. Specifically, studying the spotted lanternfly (Lycorma delicatula)
- Improving public health data visualization techniques
- Applying machine learning to public health surveillance
- Building civic technology tools that increase government transparency
- LinkedIn: patrick-rekieta
- Email Patrick.Rekieta@gmail.com
- GitHub: You're already here! Feel free to explore my repositories.