You will get I will automate your Excel or CSV data cleaning with Python
Project details
I will clean and automate your Excel or CSV data workflow using Python and pandas.
This project is useful when you receive messy files regularly and need a faster way to remove duplicates, fix column formats, merge files, filter rows, rename fields, standardize dates, or create a clean output file for reporting.
You can choose a simple one-time cleaned file or a reusable Python script that you can run again on similar files. My goal is to save you manual spreadsheet work and give you a clean, repeatable process.
This project is useful when you receive messy files regularly and need a faster way to remove duplicates, fix column formats, merge files, filter rows, rename fields, standardize dates, or create a clean output file for reporting.
You can choose a simple one-time cleaned file or a reusable Python script that you can run again on similar files. My goal is to save you manual spreadsheet work and give you a clean, repeatable process.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 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
About Safi
Data Scientist | AI Engineer | LLM | RAG | Agentic AI | LangChain
Istanbul, Turkey - 10:42 am local time
Experience: 2+ years in AI/ML development with a Master's in Computer Engineering and Bachelor's in Economics - giving me the unique ability to bridge technical complexity with business value.
What I Build:
✓ Custom LLM Applications - Chatbots, assistants, and analyzers that understand your business context
✓ RAG Systems - Turn your documents into conversational knowledge bases that answer questions accurately
✓ Agentic AI - Autonomous agents that handle complex workflows and make decisions without human intervention
✓ End-to-End ML Pipelines - From data cleaning to model deployment with MLOps best practices
Tech Stack:
Languages: Python (Advanced)
AI/ML: LangChain, LangGraph, CrewAI, Transformers, Scikit-learn
Deployment: FastAPI, Streamlit, Docker, AWS (SageMaker, Lambda, EC2)
Data: Pandas, NumPy, SQL, Power BI
What Makes Me Different:
I don't build "cool tech" - I build systems that generate ROI. My economics background means I think in terms of business impact, not just technical specs.
Ready to Work:
I'm available 30+ hours/week and respond within hours. Click the "Send Message" button in the top right to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Safi can start the project.
Delivery time starts when Safi receives requirements from you.
Safi works on your project following the steps below.
Revisions may occur after the delivery date.
Review the data and build the cleaning workflow
I will inspect the file structure, clean the required columns, create the Python/pandas workflow, and deliver the cleaned output with short usage notes.