Renovo Solutions • Develop R and Python code to clean, standardize, and merge large healthcare asset datasets exceeding 100,000 rows, performing data quality checks and validation to improve data reliability and enable consistent downstream analytics and reporting • Develop Python web-scraping script with automated parsing and validation steps to collect and structure external data, reducing manual entry and improving dataset completeness for downstream analysis

• Delivered high-priority analytics supporting national weekly surveillance reporting cycles for federal leadership during the COVID-19 pandemic • Reviewed and disseminated 400+ pages of COVID-19 data products per week for clarity, consistency, and visual accuracy through internal and interagency communications and on CDC’s public-facing COVID Data Tracker • Automated R Markdown reports comparing weekly surveillance metrics across 40+ jurisdictional indicators, reducing manual QC efforts • Developed a VBA-driven reporting tool to streamline and automate task tracking and communication with 60+ end users • Integrated large surveillance datasets into DCIPHER (HHS Protect) dashboards and reports to support real-time COVID-19 regional testing and reporting

Joint Information Center (JIC) • Built R Shiny dashboards and automated reports using SQL and R to monitor user engagement with CDC web content • Automated weekly R Markdown reports for UX and Vaccine Task Force teams to monitor and improve vaccine content findability • Implemented version control and collaborative code review using Git/GitHub to manage and track R Markdown and Shiny dashboard code • Developed code in SQL and R to clean, validate, and visualize insights and metrics from user engagement data Division of Digital Media • Developed R-based reports and visualizations to support content strategy and optimize health communication • Delivered tailored reports and dashboards to internal and external public health partners • Streamlined A/B testing reports in R Markdown for evaluating CDC web page performance • Analyzed search and page visit data using R and Adobe Analytics API to identify content gaps and optimize findability