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Optimización de ingresos e-commerce mediante priorización ICE/RICE y análisis de Tests A/B. Implementación robusta con Mann-Whitney U, corrección de Bonferroni y filtrado técnico de outliers (P96/P97) para identificar el impacto real en conversión. Desarrollado con Python y Pandas 3.0 (PyArrow backend) para procesamiento de alto rendimiento.
Revenue optimization project for an online store. Applied ICE/RICE frameworks for hypothesis prioritization and conducted a rigorous A/B test analysis. Managed statistical significance, data filtering (outliers), and conversion rate modeling to drive data-led business decisions.
A privacy-first prioritisation tool for product teams. RICE, Kano, and Value vs Effort frameworks. No accounts, no tracking, no data leaving your browser.
Tarazu — decision intelligence for product teams. Score with RICE, visualize tradeoffs, and capture rationale with explainable AI. Built with Next.js, Claude, Clerk, and Supabase.
Systematic feature prioritization using RICE methodology with statistical A/B test validation. Built to demonstrate PM skills in prioritization, data analysis, and technical communication.