Data Analyst Public Health

Caitlynn Meek

********.******@******.*** 817-***-**** https://www.linkedin.com/in/caitlynn-reeves-data/

Objective

Data-driven health analytics professional and Epidemiologist with 4+ years of experience designing and automating statistical workflows, managing large-scale healthcare datasets, and delivering actionable insights via real-world data (RWD). Proven success in data visualization, cross-functional collaboration, and protocol-driven analysis to inform strategic decisions. Seeking a challenging and impactful role in health tech, life sciences, or public health where I can leverage advanced analytics and study design to improve health outcomes at scale.

Technical Skills

Data Science & Analytics: SAS, R, Python, SQL, Snowflake, Tableau, Excel (VLOOKUP, XLOOKUP, Pivot Tables, Power Query)

Data Engineering & Automation: SAS Macros, SQL stored procedures, data cleaning scripts

Statistical Methods: Multivariate regression, predictive modeling, categorical data analysis, geospatial analysis

Program Evaluation & Strategy: Protocol design, KPIs, outcome measurement, performance monitoring

Reporting & Storytelling: Executive dashboards, scientific writing, policy briefs, cross-functional presentations

Certifications: Google Business Intelligence Certificate (2024), CDC COVID-19 Infection Prevention Certificate (2025)

Professional Experience

Senior Health Data Analyst (Contract via Eight Eleven Group)

Texas Department of State Health Services – Remote Apr 2021 – May 2025

De-identified patient medical records for analysis and visualization

Analyzed large-scale genomic and surveillance data (2M+ records) using SAS, SQL, R, and Tableau to guide public health interventions and outbreak detection.

Automated reporting processes using SAS macros and SQL queries, reducing manual work by 40% and increasing report accuracy.

Designed and deployed interactive Tableau dashboards for statewide respiratory surveillance, used by leadership for real-time decision-making.

Collaborated with epidemiologists, bioinformaticians, and IT teams on cross-agency data initiatives and strategic evaluations.

HIPAA certified

Public Health Data Analyst

Montgomery County Public Health – Remote/Hybrid May 2020 – Apr 2021

•Built statistical models on 100K+ patient records to track disease spread and improve data quality.

Standardized and validated outbreak data across multiple systems, enabling cleaner ETL pipelines.

Provided SQL and SAS support for custom reports and assisted leadership with data-driven strategy planning.

HIPAA certified

Epidemiology Data Analyst

Tarrant County Public Health – On-site Jul 2019 – May 2020

Developed and maintained automated scripts in SAS and SQL for cleaning and analyzing infectious disease data.

Contributed to predictive outbreak models and rapid-response dashboards for epidemiologic surveillance.

Identified and corrected data inconsistencies, improving the timeliness and reliability of regional reporting systems.

HIPAA certified

Education

Master of Science in Epidemiology

University of North Texas Health Science Center – May 2020

Thesis: Socio-economic Predictors of Dengue Fever at the Municipality Level in Mexico (2012–2019)

Relevant Coursework: Survey Design, Biostatistics, Categorical Analysis, RWD Methods

Bachelor of Science in Microbiology

University of Texas at Arlington – May 2018

Thesis: Detection and Efficacy of Modified HMP as an Antibiotic

Publications & Presentations

• Nature Scientific Reports (2020) – Prediction of dengue outbreak in Selangor using ML

• CSTE 2024 – Dynamic Dashboards to Track SARS-CoV-2 Variants in Texas

• Texas DSHS 2023 – Genomic Surveillance Overview

• CSTE 2023 – Integration of SARS-CoV-2 Pathogen Genomic Data into Epidemiologic Workflows

• UNTHSC (2020) – Municipality-Level Socioeconomic Predictors of Dengue Fever in Mexico

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