Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

Proyecto de análisis de ventas de tiendas para Alura Latam con Python y visualización de datos.

This repository features the Retail sales and customer insights dashboard demonstrating data cleaning and analysis using Excel, Python, and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product trends. A complete end-to-end data analytics workflow

Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

Statistical and machine learning analysis of coffee bean prices using R. Includes EDA, ANOVA, and Lasso regression to understand how origin, roast, and ratings influence pricing.

Confidence interval comparison for average Apple prices across two cities using Python.

E-Commerce Sales Analysis

📖Datamart Analysis with Machine Learning [ML] 🤝Shared ⭐R Shiny 🌐App

This project explores retail chain performance in New Zealand by combining sales forecasting, regional sales analysis, and supply chain insights. Using real data and Python (including Prophet for forecasting), it uncovers patterns and helps identify areas for improvement in inventory and operations.

Power BI Portfolio

This Power BI project explores the story behind retail sales data, transforming numbers into insights. The dashboard reveals key trends in sales performance, revenue growth, and customer demographics, helping decision makers identify profitable channels, boost customer retention, and optimize business growth.

This project explores operational data from a hotel to uncover trends in bookings, revenue, customer demographics, and service performance. The goal is to support data-driven decision-making in hospitality management.

business-oriented analytics project using Python and SQL to answer customer, product, and regional performance questions from a fictional retail dataset

Retail analysis using synthetic but realistic data.

Beginner-friendly SQL project for retail sales analysis. Includes database setup, data cleaning, exploratory analysis, and business insights using SQL queries.

Statistical analysis of US customer spending behavior and demographic segmentation. Tests real business assumptions using hypothesis testing, EDA, and data-driven insights.

End-to-end retail customer segmentation using RFM analysis, K-Means clustering, and an interactive Streamlit dashboard for business insights.

meijer product data extraction

Interactive Power BI dashboard for analyzing retail sales performance across stores, regions, and products using dynamic KPIs, DAX measures, and advanced visualizations.

Customer Purchase Behaviour Analysis in Retail using Python, RFM Segmentation, Market Basket Analysis, and Power BI Dashboard.