I built an investor research database for an international technology company that needed qualified, evidence-based investor profiles in AI, robotics, SaaS and IoT.

What I delivered:

25 investor profiles across 5 world regions

18 data fields per profile: investor type, current title, LinkedIn, website, investment evidence, two independent sources, email status, validation notes and a fit score

A scoring breakdown with High / Medium / Low follow-up priority

A clear split between firm-level investments and personally attributable ones

An honest email status (Verified / Unverified) with source or contact form

Process: The client reviewed the work in several rounds. I fixed titles and missing profiles, replaced duplicated sources, corrected mismatched comments and re-checked every email status.

Result: The client accepted the final file as a research base and described it as “considerably more rigorous and professional.”

Tools: Excel, CSV, LinkedIn, Crunchbase, public company sources