Jude Calvillo

Director, Marketing Analytics at Twist Bioscience

San Diego Metropolitan Area United States
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Summary

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Jude Calvillo is a marketing analytics and data science leader with 11+ years of experience delivering measurement strategy, product analytics, and growth-driven insights across B2B and B2C organizations including Twist Bioscience, Genesys, HP, and Rodan + Fields. He combines academic rigor—master’s-level training in communications and a data science certificate from Johns Hopkins—with hands-on product and NLP innovation as a co-founder of an NIH/NSF-backed startup and holder of an NLP patent. Jude has led global analytics transformations and full-funnel performance teams, while also consulting for research- and brand-led clients like SRI and MedTronic, demonstrating fluency in experimental design, ML, and martech ecosystems. An active civic data contributor, he founded and contributed substantive exploratory analyses to the SF Brigade Data Science Working Group, enriching civic datasets with geocoding and census profiling. Colleagues rely on him for bridging rigorous research grants and practical marketing execution to launch scalable products and campaigns.
code11 years of coding experience
job5 years of employment as a software developer
bookManagement Certificate, Business of Entertainment/Media/Sports, Management Certificate, Business of Entertainment/Media/Sports at UCLA Anderson School of Management
bookJohns Hopkins University
bookProfessional Certificate Sequence, Data Science, Professional Certificate Sequence, Data Science at Johns Hopkins Bloomberg School of Public Health
bookUniversity of California, Los Angeles
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Github Skills (9)

data-visualizations10
data-visualization10
data-visualisation10
dplyr10
ggplot10
data-cleaning10
r10
data-analysis10
geocoding9

Programming languages (6)

RJavaScriptJupyter NotebookRubyPythonKotlin

Github contributions (5)

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sfbrigade/data-science-wg

Feb 2016 - Oct 2016

SF Brigade's Data Science Working Group.
Role in this project:
userData Scientist
Contributions:80 commits, 44 PRs, 70 pushes in 8 months
Contributions summary:Jude primarily contributed to exploratory data analysis within the project. They focused on analyzing 311 request data, including data loading, cleaning, and transformation, alongside creating visualizations using R. The user also implemented reverse geocoding to enrich the dataset with geographic information and built census profiles for further analysis. Their work demonstrates a focus on data understanding and visualization for the SF Brigade's data science working group.
data-scienceinferential-statisticspredictive-modelingdata-visualizationcode-for-sf
Contributions:26 PRs, 140 pushes, 7 branches in 4 years 8 months
pythonsciencedata-sciencemore-infomachine-learning
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