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.

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

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.

Advanced Excel dashboard project featuring Pivot Tables, KPI reporting, data cleaning, formulas, charts, and business reporting.

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

Market Research & Company Validation Analysis Researched and shortlisted companies using industry databases and market reports. Analyzed business trends, verified company information, and helped design a scalable approach for identifying high-potential organizations.

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

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.

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

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

A real-time Point of Sale (POS) and analytics portal built with Flask and React, featuring thermal printing support, role-based access, and PWA capabilities for seamless offline billing.

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

Business Analytics project using PostgreSQL to analyze Apple retail sales, product performance, warranty trends, and strategic business insights.