Juthika D.

I help businesses, researchers, consulting firms, and AI companies research, collect, and organize accurate, reliable data — built on careful web research and precise, structured data entry, not copy-paste work. Web Research: I've built verified company and market databases from scratch, including a UK company database project for an AI-focused client and property/listing research matched against source criteria for a short-term rental client. I research from multiple sources and cross-check before anything goes in a spreadsheet. Data Entry: Structured, spreadsheet-based entry work — including a university course-catalog project and ongoing database formatting — done to the client's exact column and formatting rules, not my own shortcuts. I've also run an ongoing large-scale data validation contract (20+ hrs/week, months-long) where accurate entry and correction went hand in hand. Beyond these two, my experience also covers: verified contact list building (HVAC companies, business directories, university-affiliated contacts — never scraped, always checked, marked "not found" rather than guessed), AI-generated data review (checking model output against source material and correcting errors), and recurring ESG/sustainability data validation work. I've completed 267+ Upwork projects (Top Rated, $70K+ earned, 186 reviews) for clients across the US, UK, Australia, and beyond, ranging from focused research tasks to datasets with 10,000+ records. If you need someone who researches, enters, and verifies information you can actually use — not someone who just fills in a spreadsheet fast — I'd be glad to discuss your project. What I actually do: Manual web research — company, contact, market, and lead data Structured, spreadsheet-based data entry to exact client specifications Contact list building and lead research, verified before delivery Data collection and structured dataset building (including 10,000+ record projects) Data verification, source-checking, and accuracy auditing AI-generated data review: catching inaccuracies, inconsistencies, and gaps ESG and sustainability data research and validation Data cleaning, deduplication, and consistency checks Clients come back because the data I deliver is checked, not just filled in. If a source is unreliable or a record can't be verified, I flag it — I don't guess and fill gaps to make a spreadsheet look complete.