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This project presents an interactive Excel model developed for analysing sales trends and performance in the grocery retail industry.

This project sets up a retail sales database, cleans data by removing null values, and performs exploratory data analysis (EDA) to identify trends. SQL is used for business analysis, answering key questions and deriving insights for data-driven decision-making.

Exploratory data analysis

🎯"In this project, I performed Retail Sales Analysis using SQL by creating and executing different queries on a sales dataset. The analysis included extracting key insights such as monthly and yearly sales trends, identifying the top-selling products, calculating average sales, customer purchase behavior, and ranking sales performance.

Sales Analysis and Forecasting of Walmart Inc using Data of more than 40 stores over a period of 3 years.

End-to-end retail sales analytics project using SQL, Power BI, and PostgreSQL. Features automated reporting, interactive dashboards, and actionable business insights for merchandising decisions.

A SQL‑based analysis of retail sales data to uncover trends in revenue, product performance, and regional growth.

SQL project on retail sales data (2,001 records) involving data cleaning, EDA, and insight generation using subqueries, CTEs, and window functions to uncover trends in customer behavior, sales, and product performance.