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
Improve sales performance with SPIN methodology insights, local data privacy, and seamless OpenAI integration.
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.
This project provides a comprehensive experience in data analysis, specifically focused on generating sales insights for a computer hardware manufacturer, ALGO Hardware.
An interactive Excel Sales Dashboard that visualizes individual employee performance across states. It combines pivot tables, charts, and VBA to deliver a clear, user-friendly experience for sales analysis and decision-making.
Developed an advanced financial dashboard in Power BI utilizing DAX to compute key metrics such as Total Revenue and Average Revenue, featuring diverse visualisations including pie charts, Treemaps, and ribbon charts for comprehensive financial analysis.
The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.
Sales Performance Analytics & Intelligence Framework built with PostgreSQL, SQL KPI Layer and Power BI dashboards.
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
Power BI dashboard analyzing marketing spend and sales performance for a fashion retailer, tracking Revenue, Profit, Orders, ROAS/ROI, WoW trends, and campaign effectiveness, including new vs. repeat customers and ads vs. direct sales contribution.
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.
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.
Sales Performance and Customer Segmentation Analysis using SQL and PowerBI
Interactive Excel dashboard comparing 2023 vs 2024 sales performance by region, category, and product — includes KPIs, slicers, and trend insights.
A collection of end-to-end Business Intelligence solutions developed with Power BI, focusing on transforming raw data into actionable insights for Sales, HR, and Customer Service operations
An interactive Power BI dashboard analyzing 2.3M in Amazon sales data. Features include Trend Analysis, Target vs. Actual tracking, and Regional performance insights using DAX and Power Query
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