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Stephanie Roark
Data Scientist - Stats - autoML - Testing Hypotheses
Stephanie Roark is a dedicated Data Scientist with a strong background in applying multivariate statistical methods, Machine Learning (ML), hypothesis testing, and time series modeling to drive informed decisions and enhance business outcomes. With a knack for utilizing R Shiny, she excels in developing automated modeling tools and deploying Shiny apps and APIs in production environments. Stephanie brings a unique perspective to her work, blending her experiences as an astrophysicist with her programming and statistical skills.