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Enterprise-grade Superstore Analytics Dashboard built with Python, Streamlit, and SQL. Features interactive BI visualizations, RFM customer segmentation, price elasticity modeling, ROI simulation, and sales forecasting with Holt-Winters algorithm. Includes comprehensive testing suite and production-ready error handling.
ata-driven customer intelligence project focused on segmentation, behavioral analytics, and actionable business insights using clustering and exploratory data analysis.
Análisis estratégico de la base de datos Sakila mediante SQL y Python. Incluye limpieza de datos, extracción vía Web Scraping/APIs y optimización de consultas avanzadas para la toma de decisiones.