Raghav Pandey

INSEAD MBA Candidate | Investments @ Bessemer | Data & AI @ Thorogood Associates

France

About

Experience at the forefront of Data & AI both as an operator and as an investor. Shaped by global experiences, I enjoy taking on challenging problems, help new ideas grow, and learn from every cross-cultural interaction. My curiosity for AI keeps me experimenting and engaging with builders who are pushing the field forward. At Bessemer, I launched the firm’s venture-creation strategy at the AI–IT services intersection and developed an investment roadmap for AI in Life Sciences. At Thorogood, I scaled new initiatives across Singapore, London, and India, working cross-functionally across GTM and solution delivery. I combined technical depth in cloud, data, and AI with domain expertise to drive measurable outcomes, spot opportunities across global enterprises, and build trusted relationships with C-suite leaders.

Experience

  • Investor at Bessemer Venture Partners
    Feb 2026 - Jun 2026 · 5 mos

    Focus on AI in the India-US Corridor

  • Investor at Bessemer Venture Partners
    Apr 2025 - Jul 2025 · 4 mos

    Focus on AI Services in Data, IT & Lifesciences

  • Thorogood (8 yrs 6 mos)
    • Global Management Team
      Nov 2022 - Jan 2025 · 2 yrs 3 mos

      Led GTM globally + Data & AI solution delivery

    • Managing Director - Singapore
      May 2021 - Oct 2022 · 1 yr 6 mos

      • Responsible for unit P&L, business strategy and recruitment. • Led the growth of unit income by 200% YoY. • Furthered and led relationships with technology partners in the region (Microsoft & Databricks) and collaborated locally with Google on customer accounts. • Expanded customer engagements from regional implementations to global programs. • Continued hands-on, customer-facing role as a Senior Data & Analytics consultant.

    • Senior Data & Analytics Consultant
      Nov 2019 - Apr 2021 · 1 yr 6 mos

      • Delivered cloud based data platforms leading teams across Singapore and India to support sustainability aims, net revenue management goals and sales performance analysis at multi-billion dollar consumer pharma and consumer goods firms. • Presented at several Microsoft-hosted events, including for audiences up to 500 people. • Formulated and delivered virtual workshops to enable enterprise FSI organizations with the right machine learning tools and techniques to boost their NLP solutions.