Comprehensive Sales & Profitability Analysis using SQL and Power BI. Includes data cleaning, exploratory SQL analysis, visual analytics, and final business insights dashboard

Analyze retail sales performance (2014-2017) to identify revenue trends, product profitability, and geographic opportunities USING SQL and power bi

Superstore sales analysis project using SQL for data extraction and Power BI for interactive dashboard visualization.

An end-to-end sales performance analysis for a SuperStore company. Features data cleaning with SQL Server and an interactive Power BI dashboard tracking $10M total sales, regional performance, and salesperson efficiency.

Superstore Sales Analysis Using SQL and Making Interactive Dashboard using PowerBi

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Python : Employee Attrition Analysis (HR Analytics) ; Powerbi : Global Superstore Sales Analysis ; SQL : SQL Project: E-Commerce Analytics System

In this project, I focused on reformatting and analyzing Superstore sales data to uncover insights and profit trends from 2011 to 2014. Using Excel, SQL, and PowerBI, the analysis included defining problems, data preparation, cleaning, processing, analysis, visualization, and recommendations.