My first portfolio project showcasing data cleaning, analysis, and visualization of Superstore sales data.
This is an Excel sales dashboard I built to clearly understand business performance including sales, profit, customer count, and trends across different categories and states.
SuperStore Business Intelligence Dashboard
superstore Sales Analysis Using Python
Power BI Sales Analytics Project (Global Superstore Dataset) — full end-to-end analysis with DAX measures, semantic modeling, drill-through logic, and business insights.
Tableau dashboards analyzing Superstore sales data. Covers segment-wise sales, profit by category, regional performance, shipping trends, and time-based insights. Focused on visual storytelling for actionable business decisions.
This repository showcases various data analyses on the popular Superstore dataset using SQL queries. The analyses cover a range of business insights, including sales performance, customer segmentation, and product profitability. Each analysis is documented with the SQL queries used and explanations of the steps involved.
Interactive Power BI dashboard analyzing Superstore sales (2014–2017). Includes KPI cards, trend analysis, regional and category breakdowns, and drill-down filters to identify top-performing segments and business insights.
This is the project for analysis of SuperStore Dataset using MSExcel.
visualization of 2018-2021 superstore sample data in US
An end-to-end Excel project: cleaned Superstore dataset and built an interactive sales dashboard to uncover key business insights.
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