Summary
Marissa Barlaz is a Senior Data Scientist with eight years of experience translating experimental linguistics insights into robust data-driven solutions, currently applying her skills at CVS Health. Trained as an experimental linguist with a PhD from the University of Illinois, she combines domain expertise in speech production with practical strengths in machine learning, generalized additive models, regression, classification, topic modeling, and sentiment analysis. Comfortable across Python, R, and SQL, she builds interpretable models and visualizations that surface complex structure in vocal tract and language data. Her background managing analytics for a college of literatures and linguistics highlights an unusual blend of academic rigor and operational analytics, making her adept at turning research questions into production-ready analyses. Based in Albany, NY, she brings a curiosity for novel methods and a track record of bridging linguistic theory with scalable data science.
8 years of coding experience
4 years of employment as a software developer
University of Illinois Urbana-Champaign
BA, BS, Linguistics, Mathematics, 3.89, BA, BS, Linguistics, Mathematics, 3.89 at University of Pittsburgh