This SQL-based Walmart data analysis project aims to identify top-performing branches and products, optimize sales strategies using Kaggle's Walmart Sales Forecasting Competition dataset.

- Analyzed Walmart sales data from three branches using SQL and Python, focusing on product performance, sales trends, and customer behavior to optimize sales strategies and identify key performance factors. - Performed data wrangling, feature engineering, and exploratory data analysis to uncover insights

This project provides data-driven insights into Walmart's sales, profitability, and customer behavior using SQL analysis. The findings help optimize marketing, inventory, and operational strategies for increased revenue and efficiency.

This project explores Walmart’s sales dataset using SQL to answer the questions related to sales performance, customer behavior, and product trends. The dataset contains transactional details such as branch, city, product line, unit price, quantity, gross income, payment methods, and customer ratings

This project explores Walmart sales data to analyze top-performing branches, product trends, and customer behavior. It includes data wrangling, SQL-based analysis, feature engineering, and exploratory data analysis (EDA). Insights help optimize sales strategies, revenue forecasting, and customer segmentation.

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End-to-end Walmart sales analysis using Python and SQL with KPI insights, data visualization, and automated PDF reporting.

This repository contains a comprehensive analysis of Walmart's sales data utilizing SQL. The project aims to uncover insights into sales performance, customer behavior, product trends, and overall business operations. The analysis leverages SQL queries to extract, manipulate, and visualize sales data to aid in strategic decision-making.

Walmart Data Cleaning, Analysis & MySQL Integration A complete ETL pipeline project where raw Walmart sales data is cleaned using Python (pandas), enriched with feature engineering, and stored in a MySQL database. The project includes SQL queries to analyze customer behavior, sales performance, profitability, and branch-level insights.

This end-to-end data analysis project leverages Python for processing and SQL for advanced querying to extract key business insights from Walmart sales data. It's designed for data analysts to enhance skills in data manipulation, querying, and pipeline creation.

SQL_Walmart_Sales_analysis

walmart sales analysis using sql

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SQL-based analysis of Walmart sales data to identify trends, customer behavior, and product performance.

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SQL project analyzing Walmart sales data to identify performance trends and customer insights.

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A SQL-based data analysis project on Walmart sales data. It includes queries to analyze sales trends, customer behavior, product performance, and store-level insights. Designed to practice SQL analytics and support data-driven retail decision-making.

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The goal is to understand top performing branches and products, sales trend of of different products, customer behaviour. The goal is to analyze how sales strategies can be optimized.

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Walmart Sales analysis, data preparation using SQL and Analyzing impact of products and customers on sales.

Sales analysis of Walmart retail data using SQL and Python for business insights

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