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An end-to-end e-commerce analytics project focused on understanding sales performance, customer behavior, and long-term retention. It uses cohort analysis to track how customer groups return and purchase over time, helping identify repeat-purchase patterns, retention trends, and opportunities to improve customer loyalty.
Longitudinal and multilevel statistical modeling (GEE & GLMM) on Brazilian E-Commerce records using PostgreSQL and R. Investigates population repurchase dynamics, logistics friction, unobserved heterogeneity, and merchant overdispersion.