Sr. Data Analyst
Public health informatics and clinical analytics. I build the pipelines, find the gaps, and translate data into decisions people can act on.
CDC · Emory
I'm a data analyst with roots in public health. I've built surveillance pipelines for the WHO, scraped the only cross-league NBA/WNBA dataset that existed because none was available, and untangled donor records spread across three different systems to help a nonprofit understand where its money was actually going.
At the CDC Global Immunization Division I found a data quality problem hiding in plain sight. Applying the same surveillance KPIs to a province of 5 million people as one of 50,000 was accidentally hiding virus circulation in small areas. I designed a Spatial Binning method that aggregated districts into standardized units of 200,000 children and built a production ETL pipeline pulling from WHO POLIS (79 countries) and WorldPop via SQL into R. Added four automated surveillance flags to catch implausible data before it reached the IMB. Maintained the full codebase on GitLab for two years.
As president of the CDC R Users Group and adjunct instructor at Emory, I was invited to speak at R-Ladies Atlanta, hosted at the Atlanta Hawks facility. No cross-league Player Efficiency Rating comparison existed publicly. WNBA data was so scarce I had to hand-scrape player biographies from Wikipedia and supplement with a custom script against Basketball-Reference.com. The resulting Shiny app lets users compare any two players across standardized career timelines, explore NBA vs. WNBA PER trends, and examine how career length shapes performance curves by league and gender.
Leadership suspected revenue was falling but couldn't explain it. Donor records lived across three completely disconnected systems: Donorbox, Luma, and old Excel sheets. I downloaded and merged all three in R, deduplicated identities across sources, and tracked each person's payment history, retreat attendance, and donation tenure. The picture was clear: only about 100 people were actively donating, and a much larger group was accessing retreats without contributing anything. This drove a new registration policy (10% scholarship cap) and a membership survey to test recurring revenue viability.
Selected publications (data visualization and methods contributor)
When North American hospitals faced a critical shortage of surgical masks in early 2020, I took on full operational oversight of what became the Dharma Relief initiative — a grassroots Buddhist community response that moved faster than most government programs.
The shortage had structural roots: China produced roughly half the world's face masks, exports had halted as the virus spread, and US hospitals couldn't directly contact mainland Chinese manufacturers without mediation. We filled that gap.
Starting March 30, 2020, I coordinated 58 volunteers and 24 Buddhist centers across North America to raise $649,555 from 2,766 donations in seven weeks (our projected goal was $100,000 — we passed it on day two). I vetted an FDA-approved manufacturer in mainland China, placed volunteers on the ground there for quality control, and secured a $30,000 transportation grant from Flexport to reach MedShare's hospital network.
We delivered 1.2 million masks to 173 hospitals across 34 U.S. states, Puerto Rico, Canada, and Tijuana, Mexico. Additional masks reached clinics worldwide through MedShare's distribution network.
Data is one kind of storytelling. Social media graphics, podcast cover art, email campaigns, and infographics are another. I've designed materials for the Tallahassee Chan Center, Dharma Relief, and Dragonfly Yoga, among others.
I like the intersection of technology and mindfulness. Building AI side projects, playing new video games, and balancing all of it with meditation, yoga, and hiking.