Summary
Kushal Kapadia is a data science leader with 8 years of experience applying statistical rigor and machine learning to retail challenges at Circle K, where he progressed from Data Scientist to Data Science Manager. He specializes in pricing optimization, customer experience analytics, and productionizing predictive models—bridging research-grade methods (from his ASU masters and grad research) with business impact in fast-paced retail operations. Comfortable coding in R and Python and a self-described storytelling enthusiast, he emphasizes clear visualizations (ggplot2, matplotlib) to make models actionable for cross-functional teams. Notably, his academic work developed novel NLP-based estimators of term ambiguity, reflecting a blend of information theory and practical NLP that informs his approach to messy real-world text and categorical data.
8 years of coding experience
8 years of employment as a software developer
Masters, Statistics, Masters, Statistics at Arizona State University
English, Hindi, Gujarati