A selection of data management, analysis, AI, and automation projects across global health, development, and beyond.
Designed and built a complete data processing pipeline for a multi-module facility survey — from 📋 SurveyCTO import to labeled, analysis-ready St Stata datasets — covering 44+ facilities across multiple regions.
Built an automated 📈 Power BI reporting system consolidating data from multiple field sites into a single clean dashboard for program leads and donors.
Built automated St Stata routines for detecting duplicates and validating field data quality across large survey waves.
Built a Py Python-based ML pipeline to automatically classify and label survey responses, reducing manual coding time by 80%.
Scripted automated document generation for multi-facility layouts, dramatically reducing manual formatting time for field teams.
"They turned our chaotic survey exports into clean, reproducible pipelines. What used to take days now takes hours."
"I went from completely lost in Stata to writing my own cleaning scripts in four weeks. They make complex things feel approachable."
"Excellent technical work, documented so clearly our team could build on it independently."