Messy spreadsheets and unverified contact lists quietly cost businesses more than most people realize — in wasted outreach, bad decisions, and hours spent copy-pasting instead of working. I offer high-accuracy data management built to turn raw, unorganized information into a clean, actionable database.
This is the service I've done the longest: high-volume data entry, deduplication, and legacy-system cleanup, with a documented 99% accuracy rate across projects ranging from small contact lists to 100,000+ record datasets processed annually.
What's Included
- High-volume CRM/database cleanup (100k+ rows)
- B2B contact verification & enrichment
- Legacy database modernization (e.g., FoxPro to Excel)
- Automated multi-source Excel/Google Sheets merging
- Deduplication with fuzzy-matching logic, not just exact matches
- PDF/image-to-Excel conversion
How I Work
Audit & scope
I review a sample of your data to spot the real problems before quoting.
Clean & standardize
Formatting, deduplication, and structural fixes applied consistently.
Verify
Spot-checks and validation rules confirm the data holds up.
Deliver
You get a structured export in the format your team already uses.
Recent Work
Examples include building Python scripts (openpyxl/pandas) for accounts-receivable aging and customer block filtering with precise transaction-code logic, deduplicating and redistributing large email lists across Excel columns grouped by company, and cleaning multi-file B2B datasets for lead-generation campaigns.
Investment
Most new engagements are scoped as a project rather than commodity hourly work. Ongoing research and data-operations support can be structured monthly.
Send a sample dataset or workflow and I will scope the work before you commit.
Related Services
Sitting on a messy dataset?
Send me a sample and I'll tell you exactly what it'll take to clean it properly.
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