Epidemiologist-Trained Data Professional | MS Biostatistics
I'm an epidemiologist-trained data professional with 8+ years of healthcare experience. I hold an MS in Biostatistics from MTSU and build reproducible surveillance pipelines in R.
I'm seeking an epidemiologist role focused on viral hepatitis and communicable disease surveillance.
- Acute Hepatitis Surveillance (TN, 2016) → R, CDC NNDSS, outbreak visualization
- SQL Eligibility Rules Engine → Business logic, patient matching, near-miss analysis
- PDF to CSV Parser → Python, regex, fixed-width data extraction
- Synthetic Claims Data Generator → Python, Faker, denial reason visualization
What this project demonstrates:
- Cleaning CDC NNDSS hepatitis data
- MMWR week reporting and case trends
- Reproducible R code (tidyverse, ggplot2)
[SQL Portfolio](https://github.com/aholloway3/sql_portfolio)
What This Demonstrates:
- Eligibility logic implementation — joining patient data to business rules
- Data quality assessment — identifying missing admission dates
- Volume troubleshooting — understanding why patient counts change
- Logic breakdown — showing intermediate steps for validation
- Near-miss analysis — identifying patients who almost qualify
- Surveillance: CDC NNDSS, MMWR reporting, outbreak analytics
- Programming: R, SAS, SQL, Python
- Data Viz: Power BI, Excel, Tableau (familiar)
- Public Health: HIPAA, PHI governance, health disparities