Moira Overly
PUBLIC HEALTH DATA ANALYST | HEALTHCARE INFORMATICS | EPIDEMIOLOGICAL DATA SPECIALIST
Public health data analyst with experience supporting communicable disease surveillance, laboratory informatics, and clinical research data analysis within regulated environments. Skilled in SQL, Python, R, Power BI, and Excel for data validation, statistical modeling, dashboard development, and structured reporting. Demonstrated expertise in QA/QC methodologies, regulatory compliance, and public health data governance.
Areas of Interest
Risk Analytics
I enjoy analyzing complex data to identify patterns and potential issues before they become problems. In public health and lab settings, this helps ensure decisions are reliable and grounded in solid evidence.
Machine Learning
I am exploring predictive modeling and pattern recognition by using Python, R, and Java to help make sense of large datasets. I enjoy seeing how models can reveal trends and relationships that aren’t obvious at first glance.
Anomaly Detection
I focus on finding irregularities or unexpected results in datasets, ensuring that the data is trustworthy. Catching small errors early keeps larger analyses accurate and dependable.
Experimental Design
I enjoy planning and structuring experiments so they produce reliable, reproducible results. By carefully designing studies, I ensure the data collected can answer important questions accurately.
Data Visualization & Storytelling
I love turning numbers into clear, visual stories that anyone can understand. Using tools like Power BI and Excel, I aim to make data approachable and meaningful.
Public Health
I am passionate about using data to support healthy communities and track disease trends. My experience combines lab data, population-level reporting, and epidemiology to help inform practical solutions.