Arushi Prakash is a research scientist and data scientist based in Seattle with 11 years of experience applying machine learning and statistical methods to retail problems and personalization. She holds a Ph.D. in Chemical Engineering from the University of Washington with a formal minor in data science, and blends rigorous research methods with practical product-focused engineering. Her toolkit spans Python, R, SQL, Docker, GCP and a range of ML techniques from regularized linear models and tree ensembles to deep learning and NLP, plus hands-on A/B testing and anomaly detection. Passionate about data products and education, she focuses on turning experimental insights into production-ready personalization and recommender systems. An unusual strength is her academic training in chemical engineering, which gives her a systems-thinking approach to noisy, production-scale data problems.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at University of Washington
BITS Pilani, Birla Institute of Technology and Science
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