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 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.
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.
Restaurant Data Analysis using Python | EDA | Business Analytics | Data Visualization
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
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.
SQL and Python project for vendor sales, purchase, freight, and inventory analysis using SQLite
ata-driven customer intelligence project focused on segmentation, behavioral analytics, and actionable business insights using clustering and exploratory data analysis.
Food delivery operations analysis with bottleneck detection, efficiency modeling, and performance optimization.
Advanced Excel dashboard project featuring Pivot Tables, KPI reporting, data cleaning, formulas, charts, and business reporting.
This project showcases a complete end-to-end data analysis workflow using "Power BI", built upon the well-known "AdventureWorksDW2017" database. The objective was to transform raw transactional data into an interactive, multi-page executive dashboard that provides deep insights into sales performance, product profitability, and customer behavior.
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
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