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I will clean, structure, and normalize your messy data
About this Gig
Drowning in messy data from multiple sources? I use AI to transform chaotic data into clean, structured, analysis-ready datasets fast.
I CLEAN & STRUCTURE:
Messy spreadsheets & inconsistent formatting
Multi-source data that won't match
Unstructured text structured fields
PDF/image tables clean data
Chinese-language sources (unique!)
Product catalogs, financial data, CRM exports
AI-POWERED PROCESSING:
Smart entity normalization (not find-replace)
Category mapping across taxonomies
Currency conversion & unit standardization
Semantic deduplication
Chinese NLP extraction
YOU GET:
Clean dataset (CSV/JSON/Excel)
Data dictionary & QA report
Full source traceability
WHY ME: 20+ yrs engineering, AI-first, Chinese NLP, full pipeline (scrapecleanstructure).
Need data scraped first? See my web scraping Gig!
⭐ New seller special premium quality at intro pricing!
My Portfolio
FAQ
What types of messy data can you handle?
I can clean data from virtually any source — Excel spreadsheets, CSV files, PDF tables, web-scraped data, API responses, database exports, and even unstructured text. I also specialize in Chinese-language data sources that most sellers can't process.
How is your AI-powered cleaning different from basic data cleaning?**
Most sellers use manual Excel operations or simple find-replace. I use AI for semantic understanding — which means I can intelligently normalize product names into the same entry, map inconsistent categories into a unified taxonomy, and extract structured fields from free-text paragraphs.
Can you also scrape the data for me?
Yes! Check out my web scraping Gig — I can handle the full pipeline from data extraction to cleaning and structuring. Many clients combine both services for a complete end-to-end solution.
What file formats do you deliver?
I typically deliver CSV, Excel (.xlsx), and JSON. If you need a different format (XML, SQL dump, Parquet, etc.), just ask — I can accommodate most formats.
Do you handle large datasets (100K+ rows)?
Absolutely. My Python-based pipeline can handle datasets of any size efficiently. For very large datasets, please message me first so I can provide an accurate timeline and custom quote.
