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

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

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

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

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

A project analyzing coffee shop sales using Excel, including data cleaning, visualization, and insights for better decision-making.

E-Commerce Sales Analysis

🌎Datamart Analysis with Machine Learning [ML]⭐R Shiny App

Power BI Portfolio

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