Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning

This project aims to explore the Walmart Sales data to understand top performing branches and products, sales trend of different products, customer behaviour. The aim is to study how sales strategies can be improved and optimized.

Analysing walmart sales data to find out the if there is a relationship between weather and sales

This project analyzes weekly sales data for 45 Walmart stores over the years 2010 to 2012. Using Python and Pandas, the analysis provides insights to boost sales by 10% and improve customer engagement.

A machine learning project to predict weekly sales for 45 Walmart stores using historical data and economic factors from year 2010 to 2012. The goal is to boost sales by 10% and improve customer engagement.

This project analyzes weekly sales data from Walmart stores to uncover key insights and relationships between variables.

This project leveraged PostgreSQL to analyze Walmart sales data, uncovering key insights into branch performance, product trends, and customer behavior. Data was imported, analyzed through structured queries, and results were exported to support actionable business strategies.