Crystal Yang is a data analyst and former chemist with a PhD in physical chemistry and 9 years of experience applying Python and machine learning to streamline scientific and healthcare workflows. At Astrana Health she translates complex biomedical data into actionable insights, and as Lead ML Engineer at Omdena she built sentiment-tracking models to monitor youth aspirations globally. Early in her research career she automated tedious lab analyses—cutting processing time by 75%—and co-authored work that contributed to a provisional patent, demonstrating an ability to turn domain expertise into practical tools. Her technical toolbox includes Python, SQL, pandas, scikit-learn, NLP, and deep learning, with hands-on experience in A/B testing, Bayesian methods, and image-based neural networks for pathology screening. Curious and efficiency-driven, she blends rigorous experimental thinking with production-oriented data solutions to improve decision-making in health and product contexts.
9 years of coding experience
7 years of employment as a software developer
Chemical Engineering, Chemical Engineering at University of California, Davis
A collection of my data science capstone projects while I was undergoing the Thinkful Data Science Program
Contributions:94 commits, 8 PRs, 92 pushes in 7 months
capstonepythonsciencedata-sciencemachine-learning
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