I will clean, manipulate, and preprocess your data using python
Data Analyst with Python, Excel, Power BI and SQL Expert
About this Gig
Is your data messy, unorganized, or full of errors?
I will clean, filter, and structure your data using Python (Pandas , NumPy & MatPlotlib), Excel, and Google Sheets so it becomes accurate, readable, and ready for analysis or reporting.
What I Offer:
- Data cleaning & filtration
- Handling missing values, duplicates & outliers
- Data manipulation using Python Pandas & NumPy
- Sorting, filtering & formatting data
- Data transformation & restructuring
- Merging multiple datasets
- Excel & Google Sheets data cleaning
- CSV, Excel, Google Sheets & JSON support
- Clean datasets + Python scripts (if required)
Tools & Technologies:
- Python
- Pandas & NumPy
- Excel
- Google Sheets
- Jupyter Notebook
Why Choose Me?
Clean & efficient workflow
Accurate and well-structured data
Fast delivery & clear communication
100% client satisfaction
Please message me before placing an order to discuss your dataset, scope, and requirements.
Let me help you turn raw, messy data into clean, reliable, and useful information
Platform:
Excel
•
Google Sheets
•
Power BI
Development technology:
Python
•
Excel
•
Power BI
Expertise:
Formatting
•
Fixing
•
Pivot tables
•
Formulas
•
Dashboard
My Portfolio
FAQ
❓ What type of data do you work with?
I work with CSV, Excel, Google Sheets, JSON, and SQL datasets. If you have a different format, feel free to message me before ordering.
What tools do you use for data cleaning?
I use Python (Pandas & NumPy), Excel, and Google Sheets depending on the project requirements and dataset size.
Can you handle large or messy datasets?
Yes. I can clean, filter, and manipulate large, complex, and unstructured datasets efficiently using Python.
Do you offer custom orders?
Absolutely. Every dataset is different, so I offer custom packages based on your requirements. Please contact me before placing an order.
❓ Should I contact you before ordering?
Yes, I strongly recommend messaging me first so we can discuss your dataset and expectations.

