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I will build custom ai powered python scripts for data automation
Neelgreev
About this gig
Description: I will develop a robust, well-documented Python script for your data task, web scraping, or automation needs. Includes clean code, error handling, and a quick setup guide.
What is included in this :
- Complete Source Code: Clean, PEP8-compliant .py file.
- Automation Logic: Up to 3-4 specific tasks (e.g., scrape data -> clean it -> save to Excel).
- Requirements File: A requirements.txt for easy library installation.
- Error Handling: Basic logic to ensure the script doesn't crash on minor data issues.
- Delivery: 4 Days.
Get to know Neelgreev
Neelgreev
Machine Learning Enginner, Web Developer
- FromIndia
- Member sinceJul 2020
Languages
Bengali, Hindi, English
Hi! I’m Neelgreev, a Computer Science Engineer and Data Science Specialist. 🚀
I bridge the gap between complex data and functional web applications. With a deep focus on Machine Learning and AI, I don't just build websites—I build intelligent systems that solve problems. Whether it's a peer-to-peer retrieval app or an AI-driven advisory tool, I thrive on turning data into actionable insights.
Check my gigs offered for additional information
My Portfolio
FAQ
Q: What do I need to provide to get started?
A: Please provide a clear description of the task, any input files (Excel, CSV, TXT), or URLs if we are doing web scraping. A short video or document explaining the manual process you want to automate is also very helpful.
Q: Can you help me run the script on my computer?
A: Yes! Every script I deliver comes with a README guide and a requirements.txt file. If you need extra help, I offer a "Remote Setup" service to ensure everything runs perfectly on your specific operating system (Windows, Mac, or Linux).
Q: Will the script work if the website layout changes?
A: Web scraping scripts are built based on the current website structure. If the site undergoes a major redesign, the script may need an update. I build my scripts to be as robust as possible to handle minor changes.
Q: Can you handle large datasets?
A: Yes. I use libraries like Pandas and NumPy to ensure the script processes large volumes of data efficiently without crashing or slowing down.
