Built and maintained a production data workflow for Guinea Worm eradication operations, connecting field data collection to standardized outputs.

• Improved consistency across multi-country forms and naming conventions
• Implemented validation logic and QA checks (GPS outliers, duplicates, date logic)
• Streamlined monthly reporting-ready datasets for dashboards and leadership updates

Automated PDF accessibility remediations and translation workflows to streamline compliance and reporting across international development projects.

• Automated 508 compliance remediations using Python, Tesseract, PyTorch, and Deepdoctection
• Integrated OpenAI Whisper for PowerPoint translation, reducing manual turnaround time
• Designed 100+ graphics and interactive maps supporting program reporting and geospatial analysis

Evaluated and improved an early warning approach for meningitis outbreaks using climate data and operational constraints.

• Compiled and cleaned data from WHO, ACMAD, and CDC across 39 countries
• Created 12 district-level choropleth maps comparing risk prediction to retrospective outbreak data
• Improved the early warning system by incorporating population density into risk assessment

Performed deep-dive audits on national datasets to identify structural issues that can silently corrupt analysis.

• Detected misaligned columns impacting hundreds of villages
• Developed hierarchical fuzzy matching to standardize administrative unit names across multi-country datasets
• Improved confidence in downstream monitoring and reporting