International electronics retail analysis across 15+ countries using 50K+ sales records | Power BI, SQL, Python, DAX, Interactive Dashboards
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Updated
Dec 19, 2024 - Jupyter Notebook
International electronics retail analysis across 15+ countries using 50K+ sales records | Power BI, SQL, Python, DAX, Interactive Dashboards
A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.
Improve sales performance with SPIN methodology insights, local data privacy, and seamless OpenAI integration.
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Sales Performance Analytics & Intelligence Framework built with PostgreSQL, SQL KPI Layer and Power BI dashboards.
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This repository contains Power BI projects showcasing data analysis and interactive dashboards. Each project includes detailed visualizations and insights on diverse topics such as loan analysis, sales performance, and customer behavior.
Power BI dashboard showing sales KPIs, quarterly trends, city-wise analysis and geographic map (2018-2020) | 106M total sales tracked
A comprehensive data modeling and analysis project for the 🌍Global Super Store, focusing on database design 🗃️, sales data analysis 📊, and interactive visualizations 📍 using MySQL 🖥️ and Tableau 📈.
🎯 Professional Looker Studio dashboard analyzing 5,162+ customer transactions & $228M+ revenue 📈 Real-time business intelligence for retail analytics & customer loyalty program optimization 🔍 Top performer identification, product trend analysis, and strategic KPI tracking 🛠️ Google Looker Studio | Business Intelligence | Customer Analytics
This project analyzes sales, profitability, and customer behavior for Global Superstore, a leading international retailer operating in 147 countries. Using Tableau, Python, and Excel, I explored sales trends, regional performance, and product profitability to provide data-driven recommendations.
Modelagem de Dados e Análise de BI para performance de vendas e finanças em e-commerce.
Interactive Excel dashboard comparing 2023 vs 2024 sales performance by region, category, and product — includes KPIs, slicers, and trend insights.
SQL project analyzing e-commerce sales data to to answer key business questions such as best-selling products, top customers, regional and seasonal sales patterns, return rates, and trends in average order value (AOV). The project highlights practical SQL techniques for deriving business insights from raw data.
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Data analysis of AdventureWorks' sales performance from July to December 2017
A project analyzing coffee shop sales using Excel, including data cleaning, visualization, and insights for better decision-making.
This project presents a Power BI dashboard analyzing sales performance in the food and beverages sector. It includes insights into total revenue,order trends, product performance, sales channels and individual salesperson contributions. Key KPIs such as average ticket price and quarterly order growth are visualized to support data driven decisions.
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