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rice-framework

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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.

  • Updated Feb 19, 2026
  • Jupyter Notebook

AI-powered Product Management framework for prioritizing SaaS feature requests using customer value, business value, RICE, MoSCoW, Kano, AI-assisted scoring, weighted prioritization, and Product Manager judgment.

  • Updated Aug 15, 2026

Job-ready Product Owner portfolio featuring real-world case studies, Jira agile boards, user stories, roadmaps, dashboards, stakeholder matrices, PRDs, and data-driven product artifacts.

  • Updated Mar 16, 2026
  • Python

Hypothesis prioritization (ICE/RICE) and A/B test validation for Showz. Mann-Whitney U confirms an 18.95% conversion lift (P=0.007) — and correctly rejects an unvalidated revenue/AOV claim (P=0.822) the original analysis never tested. Python, Pandas, SciPy.

  • Updated Aug 8, 2026
  • Jupyter Notebook

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