I will clean, organize, and prepare your data for analysis
Data Analyst: Python, Excel and Data Visualization, Power BI
About this Gig
Do you have messy, inconsistent, or unorganized data that needs to be cleaned before analysis?
I will clean, organize, and prepare your dataset so it is structured, consistent, and ready to use.
Depending on your data and selected package, I can help with:
- Removing duplicate records
- Handling missing values
- Correcting inconsistent data
- Standardizing text, dates, and number formats
- Fixing formatting issues
- Organizing columns and tables
- Restructuring data when necessary
- Performing basic data quality checks
- Preparing datasets for analysis or visualization
I can work with tools such as Microsoft Excel, Power Query, and Python/Pandas depending on the requirements of your project.
Please contact me before ordering if you have a large dataset, multiple files/tables, or unusual cleaning requirements so I can confirm the appropriate package.
Your data will be handled carefully, and I will not publish or share your files without your permission.
My Portfolio
FAQ
What types of data can you clean?
I can clean structured datasets such as Excel and CSV files, including duplicates, missing values, inconsistent formatting, incorrect data types, and other common data quality issues.
What tools do you use?
Depending on the project, I can use Microsoft Excel, Power Query, Python, Pandas, and Jupyter Notebook.
Can you clean multiple files or tables?
Yes. For projects involving multiple files or tables, please contact me before ordering so I can review the scope and recommend the appropriate package.
Will you change my original file?
I will provide the cleaned output separately so you can keep your original data. If you have a preferred output format, please include it in your requirements.
Is my data kept private?
Yes. I will not publicly share or use your data in my portfolio without your permission. If you give portfolio permission, sensitive or identifying information will be removed before anything is showcased.
