Michael Reiderman

I’m a data analyst completing my M.S. in Data Analytics at Johns Hopkins University (August 2025), specializing in statistical processing and natural language methodologies. I hold a B.A. in Cognitive Science with a minor in Psychology from UC San Diego, and have published research in the Journal of Memory and Language exploring semantic predictability and eye movement patterns in reading.

I’ve held research and analyst roles at Google, where I conducted psychophysics and UX studies to support the development of smart speaker prototypes including the Nest Mini, Nest Hub, and Nest Wi-Fi. My work involved designing experiments to evaluate acoustic perception, moderating behavioral studies, analyzing both qualitative and quantitative data, and delivering actionable insights that shaped the audio model across multiple hardware iterations.

At Johns Hopkins University, I led a large-scale NLP project analyzing Reddit discourse on the Israel–Hamas conflict, applying LDA, VADER sentiment analysis, and PCA to extract key topics and emotional patterns from 25,000+ user comments. This project exemplified my ability to combine linguistic theory, technical skill, and statistical modeling to generate meaningful insights from unstructured data.

With a strong foundation in cognitive science, deep familiarity with human–machine interaction, and hands-on NLP experience, I bring a research-driven, insight-focused approach to language technology and data analysis.