Patrick Schultz is a Staff Data Scientist based in Austin with 11 years of experience turning large, messy text datasets into actionable insights using Python (scikit-learn, spaCy, NLTK), R (modeling and Shiny apps), and big-data tools like Hadoop and Scala. He holds a PhD in English Linguistics with a dissertation applying cluster analysis to hundreds of thousands of online personal ads, blending computational sociolinguistics with practical product analytics. Patrick has progressed through senior data science roles at KPMG and Guideline and now shapes analytics at ezCater, bringing both consultancy rigor and product-focused execution. Comfortable with engineering practices—Git, shell scripting, and production pipelines—he specializes at the intersection of language, stats, and scalable infrastructure to surface non-obvious patterns in text.
11 years of coding experience
8 years of employment as a software developer
Business Journalism, Business Journalism at Georg von Holtzbrinck-Schule
Doctor of Philosophy (PhD) English Linguistics (Focus on Computational Sociolinguistics), Doctor of Philosophy (PhD) English Linguistics (Focus on Computational Sociolinguistics) at The University of Texas at Austin
Bachelor of Arts (B.A.) English Language and Literature/Letters, Bachelor of Arts (B.A.) English Language and Literature/Letters at The University of Freiburg
Contributions:222 pushes, 1 branch in 2 years 1 month
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