This repository contains my Week 1 Retail Sales Excel Analysis completed during my Data Analyst Internship at Logic Stack. The project focuses on data cleaning, quality checks, Excel functions, sorting, filtering, charts and basic sales analysis using a retail sales dataset. It showcases my practical Excel and data analysis skills.

Retail Sales Data Analysis using SQL to extract business insights, customer trends, and category-wise sales performance.

Retail Sales Analysis using SQL on Kaggle Superstore dataset with business insights, profitability analysis, and trend analysis.

This project analyzes retail sales data using Python libraries such as Pandas, Matplotlib, and Seaborn.

Developed an interactive Retail Sales Performance Dashboard in Microsoft Power BI analyzing multi-year sales data (2019–2024). Applied Power Query, data modeling, and DAX to track KPIs such as Sales, Profit, Quantity, and Margin with dynamic filters and year-over-year comparison to deliver business insights.