You will get I will clean and convert your messy data to a ready-to-use CSV or Excel
Rising Talent

Project details
I will take your messy, inconsistent data and turn it into a clean, well-structured CSV or Excel file that you can use immediately for ads, analytics or your CRM. Using Python (pandas) and custom scripts, I fix formats, remove duplicates, standardize columns and document exactly what was done so you always know you can trust your data.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$5
|
Standard
$15
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 1 | 3 | 5 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Frequently asked questions
2 reviews
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AL
Alexander L.
Oct 1, 2025
Python (PyQt/pyqtgraph) — Candlestick Chart Development & Enhancements
This was our second project with Atef, and once again, he exceeded expectations. He consistently follows instructions with precision, communicates promptly, and brings a high level of expertise in Python. We are extremely pleased with his performance and intend to hire him again for another project soon.
AL
Alexander L.
Sep 1, 2025
Python Script - Perplexity API Call
Atef is extremely knowledgeable in Python, OpenAI API and the Perplexity API. He follows instructions carefully, and delivers exactly what was requested. I will definitely hire him again in the future.
About Atef
Python Developer | Web Scraping, Automation & AI Integration
Douz, Tunisia - 11:49 pm local time
prototypes? I build reliable web scrapers, business automation,
and AI integrations that plug into your real data, APIs, and tools.
Whether you need to extract data at scale, automate repetitive
workflows, or wire AI into your systems, I focus on clean,
documented Python that runs in production and saves your team
real time.
🛠️ WHAT I BUILD
- Web scrapers & crawlers that pull clean, structured data from any site (Selenium, Playwright, BeautifulSoup, Scrapy)
- Python automation that removes repetitive manual work (scripts, n8n, FastAPI backends, ETL pipelines)
- Data processing & cleaning: messy data turned into ready-to-use CSV, Excel, or database records
- API integrations connecting your tools, CRMs, databases & webhooks
- AI integrations: OpenAI API, RAG chatbots over your PDFs & documents, AI agents for multi-step workflows
📌 RECENT WORK
- Built a Python web-scraper comparing laptop prices across multiple sources into one clean, structured dataset
- Automated an HR workflow with n8n, cutting out repetitive manual steps
- Built a RAG document assistant that lets users chat with their PDFs and get sourced answers in seconds
🧰 STACK
Python • Selenium • Playwright • BeautifulSoup • Scrapy • FastAPI • n8n • PostgreSQL • REST APIs • Webhooks • OpenAI API • LangChain • Docker
🔄 HOW I WORK
1. Discovery: I learn your data, tools & goal
2. Architecture: the simplest approach that solves it (no over-engineering)
3. Build: clean, documented Python with regular updates
4. Handover: tested solution with docs & deployment support
✅ WHY ME
- 5.0 rating on all completed Upwork projects
- Computer science engineer with a Python-focused data & automation background
- Clean, maintainable, documented code
- Clear communication in English and French
📩 Send me your use case, the data or tools involved, and the result you want. I'll reply with a practical solution and the simplest way to get it live.
Steps for completing your project
After purchasing the project, send requirements so Atef can start the project.
Delivery time starts when Atef receives requirements from you.
Atef works on your project following the steps below.
Revisions may occur after the delivery date.
Review your raw data and requirements
I review your files, check the structure and issues (duplicates, missing values, bad formats) and confirm any details with you if needed.
Clean, normalize and transform the data
Using Python (pandas and custom scripts), I remove duplicates, fix formats, standardize columns, and convert everything into a consistent, ready-to-use dataset.