Patrick Schultz
About Patrick Schultz
Patrick Schultz is a Staff Data Scientist at Guideline with extensive experience in data science roles at KPMG US and a strong academic background in English Linguistics and Business Journalism.
Company
Patrick Schultz is currently working at Guideline as a Staff Data Scientist. He has been in this role since 2021 and is based in Austin, Texas, United States.
Previous Experience at KPMG
Patrick Schultz worked at KPMG US before joining Guideline. He held several positions within the KPMG Lighthouse team. From 2019 to 2021, he served as a Data Scientist, Manager in Austin, Texas. Prior to that, he was a Data Scientist, Senior Associate from 2018 to 2019, and an Associate from 2017 to 2018, both in the New York City Metropolitan Area.
Education and Expertise
Patrick Schultz has a robust academic background. He earned a Doctor of Philosophy (PhD) in English Linguistics with a focus on Computational Sociolinguistics from The University of Texas at Austin, studying from 2010 to 2017. Before that, he achieved a Bachelor of Arts (B.A.) in English Language and Literature/Letters from The University of Freiburg from 2006 to 2009. He also studied Business Journalism at Georg von Holtzbrinck-Schule from 2013 to 2014.
Technical Skills and Specializations
Patrick Schultz is skilled in text analysis, utilizing Python libraries such as scikit-learn, pandas, spacy, and NLTK. He has experience writing Scala code and processing large datasets in Hadoop. He also employs version control systems like Git and uses shell-scripting to streamline workflows. Additionally, he has built interactive data applications using R Shiny for non-academic projects.
Research and Projects
For his dissertation, Patrick Schultz conducted a cluster analysis of language use in several hundred thousand online personal ads, showcasing his expertise in computational sociolinguistics.