Ahmad Takatkah, Leveraging Data Science in Venture Capital, Experiencing Silicon Valley Hypergrowth and Processing Failure in Startups - Ep.6, Season 2

VCpreneur, at The Intersection Of VC & Data

Ahmad Takatkah is a technical founder turned VC, with a background in computer engineering, data science (AI and ML), and product management. 

Over the past 15 years, Ahmad has helped set up and operate three VC firms. For which he created new deal sourcing, startup evaluation, and exit prediction tools. 

Ahmad utilized a new AI model he customized to summarize startup pitch decks and prepare investment memos and DD reports. He utilized a new data model he designed to collect 300+ data points on startups, and then used ML to score companies based on price, market, team, differentiation, and performance, and to predict exit timelines, valuations, and fund returns. 

He's also created internal products to automate the collection of portfolio companies’ performance data, and encourage knowledge sharing among portfolio companies’ founders and teams. 

Ahmad comes with technical, entrepreneurial, and active VC investing experience, he managed small and large teams of both business and engineering talents. He is an Engineer with an MBA, and a Kauffman Fellow since 2012.

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Ahmad’s LinkedIn account: @Ahmad Takatkah (أحمد طقاطقه)

Ahmad’s Website: https://www.vcpreneur.com/

VC Evolve book: Navigating the Art, Science, and Future of Venture Capital, in an Ever-Evolving Startup Frontier