You will get Data Analysis & Business Insights Using Python & SQL
Project details
You will receive accurate and well-structured ecommerce product data analysis using Python, delivered in clean Excel or CSV files. I work with client-provided or publicly available datasets to organize and analyze product information such as titles, prices, ratings, reviews, categories, seller details, and more — clearly formatted and ready for insights.
This service is ideal for researchers, ecommerce sellers, analysts, students, marketers, and anyone who wants meaningful insights or price comparison support. I focus on accuracy, clear formatting, and smooth communication so you always know exactly what you’ll receive.
As a dedicated data enthusiast, I ensure the entire process is simple, transparent, and beginner-friendly. The results you receive are structured, readable, and insight-ready — not just raw files.
This service is ideal for researchers, ecommerce sellers, analysts, students, marketers, and anyone who wants meaningful insights or price comparison support. I focus on accuracy, clear formatting, and smooth communication so you always know exactly what you’ll receive.
As a dedicated data enthusiast, I ensure the entire process is simple, transparent, and beginner-friendly. The results you receive are structured, readable, and insight-ready — not just raw files.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Data Source Connectivity | - | - | - |
Web Embedding | - | - | - |
Interactive/Animated Visuals | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20Frequently asked questions
About AbdulRehman
Data Scientist
Vapi, India - 9:07 am local time
Steps for completing your project
After purchasing the project, send requirements so AbdulRehman can start the project.
Delivery time starts when AbdulRehman receives requirements from you.
AbdulRehman works on your project following the steps below.
Revisions may occur after the delivery date.
Step A
Client purchases the project and shares the dataset or clearly explains the data they want analyzed.
Step B
I review the requirements, confirm feasibility, and provide a small sample format if needed.