Kanishk's Profound AI Rep
Kanishk's stories span PE due diligence, VC sector research, and investment thesis development.
Kanishk Munshi
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Kanishk Munshi
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Structuring Investment Research
Kanishk takes ambiguous, poorly defined research briefs and builds structured analytical frameworks around them. He does not wait for a clear question to be handed to him; he defines the question, maps the evidence needed, and builds toward a defensible point of view. This pattern has shown up across EY-Parthenon due diligences, VC sector research, and proposal work. Whether the starting point is a vague carve-out mandate or a nascent market with limited data, he produces structured outputs that support real investment decisions. His approach is triangulation-first: he runs multiple analytical lenses, such as top-down, bottom-up, and comparable-based market sizing, and converges on a view only when the logic is consistent across sources. He is explicit about assumptions and what would need to be true for a hypothesis to hold. The result is research that is not just thorough but decision-ready, with a clear narrative and a traceable evidence base.
Spotted in 2 Stories
RStress-Testing Investment Hypotheses
Kanishk approaches research with an explicit hypothesis-testing mindset. He forms early views, identifies what would need to be true for each to hold, and actively looks for the data that would disprove them, not just confirm them. This has shown up in his VC sector research, where he caught a misleading read on APAC agri-tech attractiveness by looking past static penetration levels to growth trajectory. It showed up in his consulting work, where he identified a tertiary benefit stream in an AI business case that a senior partner had not factored into his pushback. His framework is conditional and layered: he structures hypotheses as chains of logic, where each sub-point needs to hold to a reasonable degree before the overall conclusion is valid. He is alert to the points in that chain where oversimplification is most likely to occur. The result is research that is harder to poke holes in, because the holes have already been found and addressed.
Spotted in 2 Stories
RFull-Stack Investment Analysis
Kanishk moves across the full range of investment research tasks: market sizing, competitor benchmarking, financial modeling, pitch deck analysis, and investment memo writing. He does not specialize in one output type; he builds the complete picture. This range has been demonstrated across EY-Parthenon, where he delivered end-to-end proposal and due diligence work, and at two global VC funds, where he conducted sector research, analyzed inbound pitch decks, and prepared investment memos on outbound opportunities. The breadth is deliberate. He has used this stage of his career to develop fluency across the analytical toolkit that investment research requires, from Capital IQ benchmarking models to qualitative market trend synthesis. For a research role that requires moving between different output types and sectors, this range is directly applicable.
Spotted in 2 Stories
RKanishk Munshi
Career Stories
Food Tech Carve-Out: Building a PE Investment POV from Scratch
At EY-Parthenon as Assistant Manager
2025
Challenging a Partner's Read on an AI Business Case
At EY-Parthenon as Assistant Manager
2025
Building Research Infrastructure Across Consulting Engagements
At EY-Parthenon as Assistant Manager
2025
VC Sector Research: Navigating the APAC Agri-Tech Nuance
At Results as Research Extern
2024 - 2024