This is an analysis made on a superstore to understand why they had been making losses over a four year period, yet it had accounts on a substantial amount of sales over the same year period.

This repository for a project detailing the step by step approach of scraping data, integrating data from various sources, performing analysis on data from various sources for the purpose of analaysis. It also shows how APIs can be harnessed for data engr operations. In this project, the four square API was utilized for the location data.

A comprehensive sales performance analysis dashboard built using Python, and visualization tools. This project includes data cleaning, descriptive statistics, correlation analysis, and insights into sales trends, profitability, and the impact of discounts. Key features include interactive visualizations using Seaborn, and Matplot

Business Intelligence Operational Analysis and Data Modeling to Explore New Markets