The Retail Sales and Customer Shopping Trends project aims to identify key factors influencing retail sales performance, such as seasonal trends, customer demographics, and discount effects, to provide actionable insights for optimizing sales strategies and boosting revenue.

Descriptive and Predictive Analysis with Interactive Dashboard

This project analyzes sales data from a Walmart dataset using SQL. The goal is to extract meaningful insights regarding sales trends, customer behavior, product performance, and revenue distribution. The dataset consists of sales transactions, including details about customers, products, financials, and payment methods. 📊📈

SQL-based retail sales analysis project that includes data cleaning, exploratory queries, and business insights such as customer behavior, category performance, and sales trends across time.

SQL retail sales analysis project exploring customer behavior, revenue trends, and business insights using MySQL.

Python Data Analysis & BI Project This project demonstrates end-to-end data analysis using Python, CSV, and SQL, along with interactive BI visualizations. It includes data cleaning, processing, analysis, and visualization, transforming raw datasets into actionable insights. Perfect for showcasing skills in data manipulation

📊 Analyze retail sales and customer data to uncover trends, enhance profitability, and inform strategic decisions with actionable insights.