A portfolio project containing Adidas Sales Performance analysis

Portfolio Project: Conducting EDA on Adidas US Sales data for FY 2020-21 using Python, MySQL and Power BI

Analysis of popular brand product information

Portfolio project for Adidas sales analysis

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A data engineering and BI portfolio project analyzing a global inventory crisis. Uses Python (ETL) and Power BI (DAX) to optimize supply chain allocation for Adidas.

This repository contains the code and documentation for a comprehensive sales analysis of Adidas' product portfolio. Using historical sales data, the project identifies key trends and patterns to help optimize sales strategies and resource allocation.

"Adidas Yeezy Boost" es un side project que forma para de mi portfolio como Desarrollador Front-end, con la finalidad de seguir mejorando mis habilidades en el área. Lo construí basándome en el prototipo creado por Oleksandr Zhytnykov.

This repository contains a comprehensive analysis of Adidas sales data in the United States. It includes both a polished portfolio presenting key insights and visualizations, and a complete project folder with data processing scripts, code implementation, and detailed analysis.

An interactive Adidas US Sales Dashboard designed to analyze sales performance, profit, and regional trends across the United States. The project uses dynamic filters and visualizations to deliver clear business insights. Ideal for sales analysis, reporting, and data analytics portfolios.

This project aims to implement a long-only investment strategy focused on the STOXX 50 index. The portfolio consists of stocks from LVMH, Total, Sanofi, Airbus, BNP, Air Liquide, BMW, UniCredit, Adidas, and Prosus. Explore this repository to discover the implementation of this strategy, performance analyses, and associated tools.