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Linzhi Wu

Intern Investment & Business Analyst specializing in financial modeling and analytics

AugCap LLCUC BerkeleyAustin, TX2 Years ExperienceIntern LevelWorks On-Site

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About

Early-stage investing/venture sourcing profile with experience building a structured founder-sourcing pipeline across online communities, universities/hackathons, and in-person events. Interned at OrCap LLC, where they converted cold outreach into qualified founder conversations by staying useful over time (insights, relevant intros) and running structured first calls that led to internal greenlights for deeper diligence.

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Key Strengths

  • Structured, multi-channel founder sourcing strategy (online, talent hubs, in-person density)
  • Personalized outbound messaging tied to specific founder signals to drive replies
  • Ability to nurture cold founder relationships over months into qualified pipeline opportunities
  • Disciplined pipeline tracking with prioritization by founder quality, speed, and traction
  • Strong first-call discovery process focused on problem insight, founder quality, and early traction
  • Produces concise, decision-oriented weekly partner updates with clear push/pass recommendations

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Experience

Analyst InternAugCap LLC · Jun 2024 – May 2025internship
Equity Research Analyst InternEverhaven Securities · Sep 2024 – Dec 2024internship
Merger and Acquisition Analyst InternShenzhen Capital Group Co. (SCGC) · Jul 2024 – Sep 2024internship
Business Analyst InternNielsenIQ · Jun 2023 – Sep 2023internship

Education

UC Berkeleymaster, Analytics (2026)
UC Santa Barbarabachelor, Economics (2025)

Awards

  • Honors: 4/12 Quarters - University of California, Santa Barbara

Languages

EnglishMandarinFrench

Certifications

IBM Business Analyst (Coursera)IBM SQL: A Practical Intro for Querying Databases (Coursera)Google Data Analytics (Coursera)IBM Business Intelligence (BI) Analyst (Coursera)

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Connect with Linzhi

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Typically responds within 24 hours

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Hire with Reval

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Linzhi WuIntern Investment & Business Analyst specializing in financial modeling and analytics