Egypt Amaru
Quantitative Research & Analytics
About Me
The job title said researcher. But a lot of the actual work was something else.
At Google and Meta, I've spent 7 years making decisions that live closer to data engineering and analytics than to traditional UX research: redesigning data architectures to enable reliable joins, building modular Python codebases to produce org-wide metrics, developing a prompt-chained AI pipeline to transform unstructured research data into structured outputs, and writing custom tooling to quantify inter-rater agreement at scale.
The questions were always about human behavior. It's just that answering them rigorously kept leading me into data architecture, instrumentation design, and quantitative analysis at scale, which is where I do my best work.
Selected Work
ML Platform Benchmarking at Google
ML teams at Google had no baseline for platform effectiveness. I built a survey instrument and analysis pipeline that produced one.
Prioritization of Audio Needs
Redesign of Unmoderated Testing
CHaiNED