01 — Problem
What was the objective?
The goal was to understand sales and profitability patterns across products, customers, regions, and discounts to support clearer business decisions.
ProjectData Analysis
E-Commerce Sales & Profitability Analysis
A data analysis project that explores e-commerce sales, profitability, customer segments, products, regions, and discount patterns.
Problem & Solution
From a defined problem to a practical solution.
02 — Solution
What was built?
Built a data analysis workflow that cleans and transforms transaction data, performs exploratory analysis, visualizes patterns, and derives business insights.
Approach / Workflow
How the project moves from input to outcome.
01
Data Understanding
02
Data Quality Assessment
03
Feature Engineering
04
Exploratory Data Analysis
05
Business Analysis
06
Insights & Recommendations
Tools & Technologies
Technologies used to build the project.
PythonPandasNumPyMatplotlibSeabornJupyter
Key Work
What went into building the project.
01
Data quality assessment
02
Data preprocessing
03
Feature engineering
04
Exploratory analysis
05
Sales trend analysis
06
Product and regional analysis
07
Customer and discount analysis
08
Business insights
Project Preview
A closer look at the application.
Project Links
Explore the source code and documentation.
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