This project aims to analyze and visualize the sales data for Retail and Food Services in the U.S.A. The data is sourced from the U.S. government website and has been processed using SQL to create a database for easy management and analysis.

International electronics retail analysis across 15+ countries using 50K+ sales records | Power BI, SQL, Python, DAX, Interactive Dashboards

End-to-end retail sales data cleaning, analysis & forecasting using Python, SQL & Tableau. Analyze & forecast retail sales using Global Superstore data: Python (Pandas, Matplotlib), SQLite, Tableau dashboards. Keep it under 100 characters if possible so it displays well.

In this project, we explore the sales data for a retail company and generate various analytics and insights from customer's past purchase behavior. I used SQL to analyze sales revenue. We also perform customer segmentation analysis using the RFM technique.

Retail sales data analysis project using SQL for insights and performance tracking.

SQL-based analysis of Apple retail sales data to uncover insights on sales trends, product performance, and warranty claims using large-scale datasets.

Retail sales analysis using SQL (schema, realistic dataset, analysis queries)

SQL-based retail sales analysis project using joins, aggregations, and window functions to uncover revenue trends, customer behavior, and product performance insights.

Blinkit Dataset: SQL Analysis Project This project demonstrates my proficiency in SQL for data exploration and analysis using a retail dataset from Blinkit (formerly Grofers). The dataset includes product details, outlet information, sales figures, and customer ratings.

Presenting my internship's final project 🚀 Retail Chain Sales Analysis using Python, SQL, Excel And Power Bi. Dynamic Excel and Power Bi dashboard offers actionable insights, aiding efficient data-driven decisions. Python's versatility and SQL's data access enriched analysis. A compelling showcase of applied technical skills⚡

This repository features the Retail sales and customer insights dashboard demonstrating data cleaning and analysis using Excel, Python, and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product trends. A complete end-to-end data analytics workflow

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Retail Sales Analysis project using SQL to perform data cleaning, exploratory data analysis (EDA), and business insights generation. Includes queries for sales trends, customer behavior, top customers, and category performance, demonstrating strong SQL, aggregation, and analytical problem-solving skills.

This Retail analysis is done using SQL to get the required data required for the stakeholders

A comprehensive SQL project focused on Data Cleaning, Exploratory Data Analysis (EDA), and solving business-key problems using advanced SQL queries.

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This project focuses on analyzing retail sales data using SQL queries. The goal is to derive meaningful business insights by answering key analytical questions related to sales trends, customer behavior, and product performance.

A retail data analysis Project using popular RDBMS- MySQL.

This project focuses on Retail Store Sales Analysis using SQL, applying EDA and data cleaning techniques directly within SQL to extract meaningful business insights from transactional retail data.

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Retail Sales Data Analysis using SQL

Analyzed retail sales data using MS SQL Server to uncover trends, optimize performance, and provide actionable business insights.

This project analyzes retail sales data using SQL, focusing on data cleaning, customer insights, and sales trends. Key techniques include RANK(), CTEs, and shift-based analysis to uncover top customers, best-selling months, and high-value transactions, providing valuable business insights.

Online Retail Sales Analysis Database using SQL

Analyzed retail sales data using Python, MySQL, and Power BI. Identified top products, sales trends, and peak months. Visualized insights with Power BI dashboards for better decision-making.

SQL analysis of retail sales data using PostgreSQL

Retail Sales Data Analysis using SQL and Excel

Retail sales dataset analysis using SQL and Python.

This project focuses on analyzing retail sales data to gain insights into customer purchasing behaviors, product performance, and sales trends. The analysis is performed using SQL Server for data storage and querying, and Power BI for data visualization and reporting.