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Sourcing and analyzing Vertical AI startups

I find high-potential Vertical AI opportunities, analyze markets, and write clear investment memos from a Mangusta Capital externship.

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Work samples

Portfolio entries show market research, company screening, and investment memos produced during the Mangusta Capital Deal Sourcing & Startup Analysis externship.

  • Amazon Operational Strategy & People Analytics Externship
    Amazon Operational Strategy & People Analytics Externship
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    Amazon · ✅ Verified by Extern · ⏱️ In progress

    Amazon Operational Strategy & People Analytics Externship

    Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

    Data AnalysisPythonStrategyOperations

About me

I find high-potential Vertical AI opportunities, analyze markets, and write clear investment memos from a Mangusta Capital externship.

I work on sourcing and analyzing early-stage startups, focused on Vertical AI. Through a Mangusta Capital externship I researched markets, evaluated opportunities, and wrote investment memos to communicate findings to investors and founders.

Externships

Amazon Operational Strategy & People Analytics Externship

In progress

Skills

Deal sourcingMarket researchStartup analysisInvestment memo writingVertical AI domain knowledgeAIAccessibilityA/B TestingBusiness IntelligencenetworkGoogle ColabKPI TrackingWeb Scraping
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Amazon ↗

✅ Verified by Extern · ⏱️ In progress

Amazon Operational Strategy & People Analytics Externship

Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

Data AnalysisPythonStrategyOperations

Overview

The externship analyzed employee feedback and operational context within Amazon fulfillment centers to surface retention risk factors and actionable persona profiles. The work combined web-scraped reviews with qualitative synthesis and persona design. Deliverables included extracted insights and persona-driven recommendations for Learning Ambassadors.

Amazon Operational Strategy & People Analytics Externship

What I've accomplished

I produced a seven-role operational map for an Amazon fulfillment center and a diagnostic briefing that outlined causes of early turnover and recommended next analysis steps.

Project breakdown

I mapped operational roles at an Amazon Fulfillment Center, listing responsibilities, close collaborators, tools, and notes for seven roles. I also drafted a briefing note diagnosing high early turnover, outlining causes and recommended next analysis steps.

Google Sheets
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The project collected Glassdoor reviews, removed empty columns and one row with a missing summary, checked for duplicates, and exported a cleaned CSV. The submission included the cleaned spreadsheet and a downloadable CSV link.

Google Sheets
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I combined cleaned Glassdoor and YouTube text, scored sentiment, and compared keywords. I found YouTube was ~80% positive while Glassdoor was mixed (about 45% positive, 43% neutral, 12% negative), and Glassdoor emphasized physical workload and long shifts.

Google Docs
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