Kerry Rodden
Lecturer at University of California, Berkeley
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKerry Rodden is a lecturer and consultant in San Francisco with 12 years of experience at the intersection of data visualization, quantitative UX research, and product-focused data science. She originated the quantitative UXR role at Google and co-authored Quantitative UX Research, and her team created the widely used HEART framework for UX metrics. Her background spans senior research roles at Google and YouTube, startup front-end visualization work at Observable, and applied data science for public benefits sites at Code for America. Kerry teaches a new Data Visualization course at UC Berkeley’s MaCSS program and frequently prototypes with d3.js, R, Python, React, and SVG to turn complex data into actionable product insight. She combines rigorous academic training (PhD in Computer Science from Cambridge) with hands-on engineering and design chops, making her equally fluent in experiments, metrics, and interactive visual storytelling. An underappreciated strength is her track record of operationalizing research—moving analyses into live product decision-making and metrics that stick.
12 years of coding experience
19 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of CambridgeBSc Computer Science, BSc Computer Science at University of Strathclyde
Github Skills (13)
levenshtein-distance9
trend9
tf-idf9
svg8
similarity8
visualization8
charts8
natural-language-processing7
cosine-similarity7
data-visualization7
nlp7
javascript6
canvas5
Programming languages (2)
Github contributions (5)
kerryrodden/tiny-tfidf
Jul 2019 - Oct 2019
Minimal implementations of a couple of classic text analysis tools (TF-IDF and cosine similarity)
Contributions:96 commits, 1 PR, 50 pushes in 2 months
nlpcoupleimplementationsanalysis-toolssimilarity
kerryrodden/nc-absentee-votes
Sep 2020 - Nov 2020
Contributions:56 commits, 6 pushes in 1 month
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