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

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.

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.

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

E-Commerce Sales Analysis

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

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

OASIS- Data Analytics Tasks. Data analysis Practice with python, and libraries

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.

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

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.

meijer product data extraction

Used PowerBI to create an interactive dashboard analyzing global sales performance and market opportunities to provide insights for market expansion and product strategy.

Power BI Portfolio

End-to-end retail sales data analysis project using SQL, SQLite and Python (Pandas). Includes data generation, KPIs and business insights.

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.

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

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

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