Public Health Consultant & Evaluation Analyst
I bridge the gap between public health data and real-world action. Specializing in program evaluation and data visualization, I build clear, easy-to-use frameworks that help organizations see what’s working and where to focus resources.
Methodological Breakdown & Chronological Milestones
This Health Impact Assessment (HIA) was conducted to evaluate the intersection of environmental air quality and public health outcomes within a high-priority corridor in Grand Junction, Colorado. As an evaluator, my objective was to create a modular, interactive analytical tool capable of identifying geographic "hotspots" where environmental stressors and socioeconomic vulnerabilities coincide. This project demonstrates my proficiency in GIS mapping, dynamic dashboard development in Tableau, and the application of health equity frameworks to data visualization.
Public health outcomes are rarely distributed equally across a city. In urban planning, the "built environment" acts as a primary social determinant of health. This assessment focuses on the Grand Junction target corridor to determine if specific census tracts experience a disproportionate burden of Fine Particulate Matter (PM2.5) exposure alongside higher rates of chronic conditions, specifically diabetes and obesity. By visualizing these indicators through an equity lens, this project provides stakeholders with a clear evidence base for prioritizing resource allocation and community health interventions.
To ensure data integrity and replicability, this project utilized a multi-source integration approach:
Initial analysis focused on uncovering underlying patterns and potential outliers within the 10-tract corridor. Key observations included:
The interactive dashboard below highlights the relationship between environmental exposure and chronic disease markers across the study corridor.
Automated Data Quality, Privacy Governance, and Perinatal Care Analysis
Maternal and child health surveillance relies on robust, clean data streams to evaluate early intervention programs. This project demonstrates an automated public health data processing pipeline in R, simulating how state and local health departments audit raw birth cohort records, enforce data privacy standards, and conduct statistical evaluations.
Is there a statistically significant association between inadequate or delayed prenatal care timing (measured by the Kotelchuck Index) and pediatric Autism Spectrum Disorder (ASD) diagnoses in the birth cohort?
Raw surveillance data often suffers from formatting inconsistencies, missing entries, and extreme outliers (e.g., implausible gestational ages or maternal ages). The processing pipeline was structured into three automated modular stages:
Prior to analysis, automated anomaly filtering was applied to ensure high data integrity. Records missing critical prenatal tracking flags or containing out-of-bounds clinical entries were isolated into a dedicated audit file for review rather than blindly discarded.
// R Code Snippet: Small Cell Suppression Protocol
suppress_small_cells <- function(data, threshold = 5) {
data %>%
mutate(count_display = ifelse(n < threshold, "<5 (Suppressed)", as.character(n)))
}
Enforcing cell suppression ensures compliance with HIPAA and state health agency reporting standards.
A Chi-Square Test of Independence (χ²) was conducted across prenatal care adequacy tiers (Adequate Plus, Adequate, Intermediate, Inadequate/Late) against pediatric diagnostic records.
| Prenatal Care Tier (Kotelchuck) | ASD Diagnosed | No ASD Diagnosis | Total Records |
|---|---|---|---|
| Adequate / Early Start | 312 | 4,820 | 5,132 |
| Intermediate | 145 | 2,100 | 2,245 |
| Inadequate / Late Start | 188 | 2,285 | 2,473 |
By combining automated validation logic in R with structured statistical evaluation, this framework equips program directors with rapid, reproducible insights.
A multi-method evaluation mapping out state-level successes, barriers, and strategic next steps for K-12 school health programs across Utah.
Working in partnership with Get Healthy Utah, I evaluated school health initiatives across the state to help the coalition understand what is working in schools, where staff are struggling, and how to better support educators, parents, and students in nutrition, physical activity, and mental health.
Reach: 225 Survey Responses across 4 Districts
Benchmarking: 17 State Coalitions
Outcome: 15 Core Themes & 10 Recommendations
Analyzed 225 survey responses from teachers, parents, and administrators while research-benchmarking 17 other state school health coalitions to see how peer organizations structure funding, outreach, and recognition.
Organized and facilitated focus group discussions across four school districts (Iron County, Salt Lake City, Davis County, and Alpine) to capture real-world perspectives from educators on the ground.
Transcribed audio recordings and systematically coded transcript data to uncover recurring successes, barriers, and gaps surrounding nutrition, physical activity, and mental health resources.
Synthesized qualitative quotes and survey metrics into 15 core themes and authored 10 clear, practical recommendations for coalition leadership to implement.
By linking qualitative stakeholder feedback with survey trends, I identified 15 primary themes across three focus areas (Nutrition, Physical Activity, and Mental Health) and shaped them into 10 actionable recommendations for the coalition:
Funding & Resources:
Communication & Advocacy:
A Community-Based Prevention Plan and Logic Model for High-Risk Rural Alaska Native Populations
Alaska faces the second-highest suicide rate in the United States, with rural Alaska Native young adults aged 20–29 experiencing disproportionately high rates of suicidality. This evidence-based community education program focuses on culturally appropriate, community-driven interventions to reduce stigma, train local leaders in "Question, Persuade, Refer" (QPR), and improve access to mental health support across remote villages.
Designing effective interventions in remote Alaska requires directly addressing historical trauma, systemic barriers, and remote logistical constraints.
The program grounds its Effect Theory in four complementary public health frameworks:
| Category | Key Line Items | Subtotal |
|---|---|---|
| Wages & Benefits | Project Director, Coordinator, 2 Therapists, Intern | $311,129 |
| Travel & Logistics | Fleet vehicle purchase & fuel for mobile rural events | $42,722 |
| Research & Evaluation | External independent evaluator fee & IRB materials | $35,030 |
| Marketing & Outreach | Social media ads, flyers, and local community booths | $5,571 |
| Supplies & Materials | Teaching workbooks, screening tools, group session supplies | $2,586 |
| Grand Total Proposed Funding | $387,038 | |
Evaluation spans formative (1-year milestone), process (continuousQualtrics feedback), and summative assessments conducted by an independent external evaluator. Sustainability relies on biannual needs assessments, ongoing coalition meetings with tribal leaders, and recurring state/federal grant reapplications.