
Vatsalya Tandon
Investor at Bessemer; focuses on enterprise software and fintech
vatsalya
Bengaluru, Karnataka, India
Joined August 2025
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Summary
Early-career investor with technical roots: Vatsalya transitioned from building ML-for-social-good projects at IIT Kanpur and contributing to research (papers on hospital preparedness and air-quality forecasting) into strategy and consulting at McKinsey, and now invests at Bessemer focusing on enterprise software, vertical SaaS, cybersecurity and fintech. bvp+3
Applied ML for social good and environmental projects: co‑founded and led the IITK Consulting Group which produced applied research (e.g., COVID hospital-preparedness monitoring, air-quality forecasting) demonstrating an interest in deploying ML for public-sector and NGO impact. harvard+2
Public-facing communicator and community builder: maintains an active GitHub with ML/engineering projects and a high-engagement X account where he comments on tech, investing and culture; participates in alumni/student events and mentoring tied to IIT Kanpur. github+2
Cross-functional background (engineering, consulting, investing): academic training in chemical engineering combined with hands-on ML research and professional consulting experience helps him evaluate enterprise software opportunities through both a technical and go‑to‑market lens. bvp+2
Work
Education
Projects
Writing
DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region
January 1, 2022ArXiv preprint presenting DELFI, a deep mixture-model architecture for long-term PM2.5 forecasting in the Delhi NCR.
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
January 1, 2020ArXiv preprint describing a system that leverages Twitter-derived signals to estimate surges in patient volumes and equipment shortages across Southeast Asian hospitals to aid resource planning.
IIT Kanpur Consulting Group: Using Machine Learning and Management Consulting for Social Good
January 1, 2020Position paper summarizing the focus, projects, and approach of the IITK Consulting Group applying machine learning and consulting methods to social problems (healthcare, environment, agriculture).