Data Cleaning, Preparation & Validation

I clean, structure, and prepare datasets so they are reliable and ready for statistical analysis, machine learning, or research.

This service can include:

• Missing-value assessment
• Detection of duplicates and inconsistent records
• Variable coding and recoding
• Standardization of categories and labels
• Data-type correction
• Outlier and range checks
• Dataset restructuring
• Merging multiple files or tables
• Data validation and quality checks
• Preparation of analysis-ready datasets
• Creation of a clear variable/codebook structure

I work with research, survey, health, biological, and general tabular datasets using Python, R, SQL, Excel, or SPSS.

My goal is to provide a clean, structured, and well-documented dataset that can be used confidently for further analysis.