Summary
Cynthia Correa is a Senior Data Scientist based in Austin with a decade of technical experience that bridges computational plasma physics and applied data science. She brings 3 years in data science and engineering, plus 2 years in survey analytics and teaching machine learning, alongside 10 years of high-performance computing expertise modeling complex systems on massively parallel architectures. At Resy she applies scientific rigor to product-facing analytics, turning emergent patterns into actionable insights using Python, Fortran, R, and SQL. Her background as a physicist informs a statistical, curiosity-driven approach to human behavior and language data, and she often frames social questions with the same tools used to study ions in a plasma. She pairs liberal-arts breadth with deep quantitative training (PhD, UT Austin; BA, Harvard) to communicate findings clearly to technical and nontechnical stakeholders.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at The University of Texas at Austin
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Harvard University
English, Spanish