Data Processing, Excel, Python Automation & File Conversion

I provide reliable data processing, spreadsheet work, file conversion and Python-assisted automation for clearly defined digital tasks.

My work focuses on structured and verifiable results rather than unnecessary manual processing. I can help with Excel and CSV cleaning, spreadsheet restructuring, PDF and Word data conversion, duplicate removal, data validation, file-format conversion, repetitive data-processing tasks and custom Python-based processing where appropriate.

For suitable projects, I use programmatic workflows to process larger datasets efficiently and consistently. Outputs are checked before delivery for issues such as missing data, duplicates, incorrect structure, formatting problems and record-count inconsistencies.

I am particularly interested in projects with a clear input and expected output, including:
• Excel and CSV processing
• Data cleaning and normalization
• PDF/Word to structured spreadsheet conversion
• Data extraction and restructuring
• Spreadsheet automation
• Repetitive file-processing tasks
• Publicly available web data extraction
• Simple Python automation and utilities

I prefer to review the task specification or a sample file before starting so I can confirm the requirements, identify any limitations and agree on a clear deliverable.

My priorities are accuracy, clear communication and delivering files that are ready to use.

Work Terms

I work primarily on clearly scoped, deliverable-based projects.

Before starting, I prefer to review the requirements and, when available, a sample input file. For larger or repetitive data-processing projects, I can provide a small sample output first so the expected structure can be confirmed before full processing.

Communication is handled through Guru unless otherwise agreed within Guru's rules.

I am available for both fixed-price and hourly projects. Fixed-price work is preferred when the scope and required output are clearly defined.

For larger projects, milestones can be used so that samples and intermediate results can be reviewed before final delivery.

Original client files are treated as source material and are not intentionally modified in place. Processed results are delivered as separate output files.

Any limitations, missing source data or uncertain requirements will be reported rather than silently guessed or fabricated.