bussiness-analytics

End-to-end Customer Churn Analysis project using SQL, Python, Streamlit, and Plotly. Features EDA, churn driver analysis, interactive dashboarding, and business recommendations based on telecom customer data.

Business intelligence and analytics project focused on global retail operations, exploring revenue, profitability, customer purchasing patterns, product performance, logistics, and geographic trends.

A production-ready full-stack ERP System built with React, Node.js, Express, and MongoDB. Features role-based authentication, employee management, HR, inventory, finance, attendance, reports, document management, and an intuitive admin dashboard.

Developed an E-Commerce Sales Analytics System using MySQL to manage customers, products, orders, and payments. Implemented SQL concepts such as joins, aggregate functions, subqueries, views, stored procedures, and triggers to perform business analytics and sales reporting.

End-to-end retail sales analysis using Excel, MySQL & Power BI, covering sales performance, customer behavior, product analysis, and returns.

Data analysis of real concert and festival events by Rezzonante Producciones — SQL, Python (Pandas), and AI-assisted analytics turning event data into programming decisions.

End-to-end SaaS Product Growth & Revenue Intelligence platform covering activation, retention, experimentation, customer segmentation, churn prediction, and revenue-at-risk analysis using SQL, DuckDB, Python, and Streamlit.

Sprint 5 | Proyecto 5: Movilidad urbana y productividad económica

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

AI-powered Bussiness Analytics using Python and Machine Learning

Restaurant Data Analysis using Python | EDA | Business Analytics | Data Visualization

SQL and Python project for vendor sales, purchase, freight, and inventory analysis using SQLite

An interactive UPI Transaction Dashboard built in Microsoft Excel to analyse transaction volume, transaction amounts, cashback, success rates, suspected fraud, payment platforms, banks, transaction types, states, merchants, and time-based transaction trends.

A reproducible Python and Pandas project that cleans messy business order data and generates validated reports, KPIs, and charts.

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.

Melbourne house price prediction using CRISP-DM, Python, Scikit-learn, Ridge Regression and XGBoost | 13,580 records | R² 0.815

SQL-driven e-commerce business analysis covering customer behavior, revenue, products, orders, retention, and business KPIs with Power BI visualization.

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.