Data analyst with experience across public health and higher education systems. Skilled in SQL, R, Python, and data visualization tools to analyze complex datasets and translate findings into actionable insights. Experienced in building dashboards, evaluating program performance, and communicating results to diverse stakeholders.
• Data Analysis & Visualization: SQL, R, Python, SAS, Excel, Tableau, Power BI, ArcGIS
• Data Management: Data cleaning, validation, integration, workflow documentation, database querying, Banner
• Statistical & Analytical Methods: Regression analysis, hypothesis testing, data exploration, statistical modeling
• Reporting & Communication: Dashboards, technical briefs, data visualization, leadership reporting
• Collaboration & Project Work: Cross-functional teamwork, stakeholder communication, project coordination
• Analyze student enrollment, retention, and graduation data to identify trends supporting student success initiatives
• Develop dashboards and visual reports to communicate key metrics to academic leadership
• Track faculty research metrics including grant funding, publications, and performance indicators
• Query institutional databases including Banner to extract and prepare data for analysis and reporting
• Produce visualizations and reports translating complex datasets into actionable insights for leadership
• Analyzed surveillance data from state and federal datasets to detect and report disease trends
• Designed reports and dashboards to monitor key public health performance metrics
• Produced data briefs and visualizations for leadership and external partners
• Coordinated data exchange with federal partners ensuring data integrity and compliance
• Developed workflow documentation improving reporting efficiency and data quality
• Directed COVID-19 data operations including dashboards, vaccine inventory reporting, and outbreak monitoring
• Managed a team of analysts coordinating multiple reporting projects and deliverables
• Developed data reports, dashboards, and ArcGIS visualizations for public and leadership reporting
• Communicated analytical findings to internal stakeholders, community partners, and public audiences
• Implemented project management tools to track team tasks and reporting timelines
• Conducted COVID-19 data analysis and prepared reports for leadership and public reporting
• Created dashboards and visualizations to monitor disease trends and community health indicators
• Performed descriptive and statistical analyses on public health datasets
• Communicated findings to healthcare professionals, community partners, and leadership
• Analyzed assessment and therapy data to evaluate student progress and intervention effectiveness
• Communicated analytical findings and recommendations to parents, educators, and multidisciplinary teams
• Maintained compliance documentation and performance reporting for student services
Graduate Certificate in Data Science — December 2025
Relevant Coursework: Statistical Modeling, Applied Regression, Machine Learning, Data Mining, Data Visualization, Database Systems, Data Management for Analytics
Speech Pathology and Audiology
• Demonstrated proficiency in SAS programming language including accessing different types of data, exploring and preparing data, analyzing and reporting on data, exporting results, and applying SAS programming principles in practical examples
• Gained practice cleaning, organizing, analyzing, and visualizing data using spreadsheets, SQL, R programing, and Tableau
• Gained experience with data analysis and applying analytical techniques with a focus on Excel, SQL, Python libraries, and IBM Cognos
• Developed hands-on skills with open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms
Outside of data analytics, I enjoy hiking, cross country skiing, and relaxing along the shores of Lake Superior.