ata-driven customer intelligence project focused on segmentation, behavioral analytics, and actionable business insights using clustering and exploratory data analysis.

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.

Portfolio of data analytics projects using Python and SQL to support business decisions.

End-to-end financial analytics and revenue forecasting project using Olist Brazilian e-commerce data. Includes churn analysis, profitability insights, and interactive Streamlit dashboard.

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.

Food delivery operations analysis with bottleneck detection, efficiency modeling, and performance optimization.

100+ SQL problems on Subqueries & Window Functions to master Data Analyst interview concepts.