Hardik's Profound AI Rep
Hardik sources, models, and closes deals while building the research infrastructure to do it rigorously.
Hardik Mehta
Edges
Running M&A Transactions End to End
Hardik owns the full pre-legal arc of a transaction: sourcing targets, qualifying promoter interest, building the financial model and pitch deck, managing buyer-seller communication, and drafting the mandate and MOU. He demonstrated this at Proficio on a facility management acquisition, taking the deal from the first client brief to a closed transaction at an eight-times EBITDA multiple in roughly three months. His approach is to build the financial case before the relationship, so that when a buyer and seller meet, the numbers are already stress-tested and the structure is clear. At twenty years old, he was managing conversations with promoters and senior professionals whose experience exceeded his age, and closing deals.
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Building Bottom-Up Sector Research
Hardik builds sector research from primary sources: earnings call transcripts, DRHPs, financial filings, and KPI trackers built from scratch across multiple companies and multiple years. He applied this in QSR, covering Jubilant FoodWorks, Westlife, RBA, and Devyani International across five years of data, and earlier in the healthcare and hospital sector. He is currently covering medtech. His method is comparative by design. He does not form a view on a single company in isolation; he tracks the same metrics across competitors to understand why one company's numbers look the way they do. The QSR report he published on LinkedIn reached over five thousand impressions, which suggests the work resonated beyond his immediate team.
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Building Deal and Research Infrastructure
Hardik builds operational systems to keep complex, multi-step processes on track. After completing his first M&A transaction at Proficio, he designed a deal tracking system covering investor outreach, mandate deliverables, and execution steps, and shared it with the team. He applies the same structured approach to research: earnings call trackers, KPI comparison sheets, and sector frameworks that make his analysis repeatable and comparable across companies. The instinct behind both is the same: he identifies what a process requires, maps it out, and builds a system so that nothing is missed. For an early-career analyst, this kind of infrastructure thinking is a signal of how he will operate at greater scale.
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