I will clean validate and organize your excel or CSV data
Data Analyst specializing in Excel SQL Python and Automation
À propos de ce service
Need messy Excel or CSV data cleaned, validated, and ready to use?
I will turn your raw data into a clean, structured, reliable dataset using Excel and, when useful, Python and pandas.
Services may include:
- Removing duplicates
- Fixing inconsistent formatting
- Standardizing dates, text, and numbers
- Identifying missing or invalid values
- Data validation and quality checks
- Standardizing columns and fields
- Combining Excel or CSV files
- Transforming and restructuring data
- Preparing data for analysis or reporting
- Python/pandas automation when appropriate
PACKAGE SCOPE:
Basic: 1 file, up to 2,000 rows
Cleaning, duplicates, and formatting fixes.
Standard: Up to 3 files or 7,500 total rows
Cleaning, validation, standardization, quality checks, and a quality summary.
Premium: Up to 5 files or 20,000 total rows
Cleaning, validation, transformation, consolidation, and automation when appropriate.
Unclear or invalid records are flagged for review rather than guessed.
For complex matching, unusual formats, databases, or advanced automation, please message me before ordering.
Technologie:
Excel
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Google Sheets
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Python
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Autres
FAQ
What file types can you work with?
I primarily work with Excel XLSX/XLS and CSV files. Please contact me before ordering for Google Sheets or other formats.
What data cleaning can you perform?
I can remove duplicates, standardize formats, identify missing or invalid values, validate data, reorganize columns, combine files, and prepare data for analysis or reporting.
What are the package limits?
Basic covers 1 file up to 2,000 rows. Standard covers up to 3 files or 7,500 total rows. Premium covers up to 5 files or 20,000 total rows.
Can you combine multiple Excel or CSV files?
Yes. File consolidation is included in Premium when appropriate. Please contact me first for many files, different structures, or complex matching requirements.
Can you use Python or pandas to process my data?
Yes. I use Python and pandas when they provide a more reliable or repeatable solution. Premium may include reusable source code when automation is appropriate.
What happens if my data is unclear or ambiguous?
I will not guess values that cannot be reliably determined. Unclear or conflicting records can be flagged for review so you can decide how they should be handled.

