I will clean and automate excel or CSV data with python
Data Analyst: Python, Excel, SQL e Power BI
About this Gig
Do you have an Excel or CSV file with duplicate records, inconsistent formats, missing values, or unreliable data?
I will clean, standardize, validate, and organize your dataset so it is ready for analysis or operational use.
Depending on the selected package, I can:
Remove duplicate records
Correct and standardize text, dates, and numeric fields
Validate data using defined business rules
Identify missing or inconsistent values
Deliver a clean Excel or CSV output
Provide a data quality summary
Build a reusable Python cleaning workflow
My work combines practical data analysis with Python and pandas automation. I focus on clear rules, traceable transformations, organized outputs, and documentation that makes the result easy to understand.
Please contact me before ordering if your dataset has more than 1,000 rows, multiple files, API integration, complex business rules, or sensitive information. This allows me to confirm the appropriate scope, delivery time, and package.
My Portfolio
FAQ
What counts as one item?
One item represents one row or record in your Excel or CSV dataset.
Which file formats do you accept?
I accept Excel files in XLSX format and CSV files. Please contact me first if you have multiple files or another format.
Does every package include Python automation?
No. The Basic and Standard packages focus on cleaning and validating the delivered dataset. The Premium package includes a reusable Python workflow.
Can you clean more than 1,000 rows?
Yes. Please contact me before ordering so I can review the volume, complexity, delivery time, and provide a custom offer.
What information should I provide?
Please provide the file, a description of each relevant column, known data issues, validation rules, and an example of the expected output.
Can you work with confidential data?
Yes, but you should remove or anonymize personal and confidential information whenever it is not necessary for the project.

