Privately Owned E-Commerce Business Revenue and Fraud Analysis

The project focuses on the 'returning order' fraud practiced professionally by customer's,The dataset contains mobile number of each customer and total number of orders and returns performed by them with revenue. It is a virtual dataset created using Excel as not available on any opensource and is usually mined by the businesses. The customer practicing this fraud return cheap and fake products ordered from any chinese website and keep the original product with them and make profit in between and we will also analyse the sales pattern for different states to know the improvement area.

All of this was possible because I am doing the free Data Analysis with Python: Zero to Pandas course, and i would highly suggest everyone to opt for this course. Data Analysis with Python: [ZerotoPandas.com] is a practical, beginner-friendly and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas,matplotlib,seaborn data visualization and exploratory data analysis.

Downloading the Dataset

We will download the dataset from kaggle

The .csv file was uploaded on kaggle from the system to access the dataset remotely.