Walmart Sales Analysis with SQL
In this project i analyzed Walmart sales data to uncover business insights across various dimensions including time patterns, product performance, customer behavior, and branch operations
In this project i analyzed Walmart sales data to uncover business insights across various dimensions including time patterns, product performance, customer behavior, and branch operations
In this project SQL is used to analyze retail marketing performance metrics to evaluate social media campaign effectiveness, return on marketing investment (ROMI), and conversion rates across different dimensions.
This project focuses on predicting loan approval status using machine learning models, including Logistic Regression, K-Nearest Neighbors (KNN), and Decision Tree classifiers. The dataset contains loan applicant details, and the goals are to identify key factors influencing loan approval and assess the predictive accuracy of each model.
This project analyses retail sales data from a fictional “Superstore” company operating across multiple regions in the U.S. The goal was to uncover performance trends, profit drivers, and improvement opportunities using Excel.
This project analyses retail sales data from a fictional “Superstore” company operating across multiple regions in the U.S. The goal was to uncover performance trends, profit drivers, and improvement opportunities using Excel.
Ireland, Dublin