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.

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.

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.

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.

This project provides a comprehensive experience in data analysis, specifically focused on generating sales insights for a computer hardware manufacturer, ALGO Hardware.

🎯 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

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 📈.

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.

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

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.

Interactive Excel dashboard comparing 2023 vs 2024 sales performance by region, category, and product — includes KPIs, slicers, and trend insights.

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.

The project aims to provide in-depth insights into Kimia Farma business sales performance from 2020 to 2023 through detailed data analysis. What was required to working on this project was importing dataset into BigQuery, created a analysis table, and created a dashboard using Looker Studio for Data Visualization.

Modelagem de Dados e Análise de BI para performance de vendas e finanças em e-commerce.

A web-based Sales Analysis System designed to provide insights into sales performance. Features include daily sales tracking, sales vs labor analysis, trend reports, and forecasts. Built with React, .NET, and MS-SQL for real-time data visualization and actionable reports to optimize sales strategies.

An end-to-end data analysis project using Excel to optimize Vastra Store's sales strategy. Features interactive dashboards focused on demographic trends and gender-based marketing insights.