I clean up and organize messy data so businesses can trust their reporting and stop wasting time fixing it. That covers CRM records, content libraries, and the data behind AI tools.
Most of my work falls into three areas:
CRM cleanup (HubSpot & Salesforce) — removing duplicates, standardizing fields, filling in missing data, and setting up custom properties that stay consistent.
Content tagging & classification — tagging and categorizing large content libraries accurately, with careful QA.
AI data quality — reviewing AI-generated outputs, building structured data catalogs, and catching errors before they spread.
I spent 3+ years in B2B operations (sales, marketing, then product) before going freelance, so I know how teams actually use their data. I use AI to move faster, but I check and verify everything myself.
A few recent projects:
• 700+ hour Salesforce contact cleanup and standardization
• HubSpot property structuring, cleanup, and enrichment
• Large-scale content tagging for a live-commerce marketplace
• AI-output review and structured data cataloging for a SaaS platform
If your data's a mess, message me about what you're dealing with and I'll tell you how I'd fix it.
Mika R. earns an estimated $6k/mo. That's 4.2× the typical freelancer and more than 99.64% of everyone we track.