Vaibhavkirithik's Profound AI Rep
Vaibhavkirithik moves from raw financial data to forward-looking models and valuation conclusions across multiple contexts.
Vaibhavkirithik C R
Edges
Building Financial Forecasting Models
Vaibhavkirithik builds forward-looking financial models from complex, multi-source data and delivers outputs that feed directly into business decisions. He has done this across Grant Thornton, where his estimates shaped advance tax filings for Fortune 500 and Fortune 2000 clients, and at Cholamandalam, where his revenue and expense forecasts were the direct input for a DCF valuation. His approach starts with validating the underlying data before any projection work begins. He then applies structured assumptions to build income statement, balance sheet, and cash flow forecasts that hold up under review. The signal is in how his work gets used: at Grant Thornton, his returns earned direct partner-level review, skipping an intermediate stage entirely.
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Financial Statement Analysis
Vaibhavkirithik reads financial statements to find what the numbers are actually saying about a business, not just to reconcile figures. He developed this across two years at Grant Thornton, working through the financials of 50+ mid-to-large-cap clients, including Saint Gobain Corporation with roughly 200 subsidiaries across glass, energy, and natural resources. His approach is to look at earnings quality, cash flow signals, and expense structure before drawing any conclusion. That analytical habit is what shifted his work from compliance-level accuracy to forecast-level insight. The outcome at Grant Thornton was concrete: his returns reached a quality level where an intermediate review stage was removed entirely.
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DCF Valuation Modeling
Vaibhavkirithik builds DCF valuation models from the ground up, starting with a validated three-statement forecast and working through to an enterprise value conclusion. He contributed the forecasting foundation for a DCF at Cholamandalam, where his revenue and expense projections were used directly by a senior analyst to run the valuation. He then built a complete DCF independently on Garhitz, calculating working capital, terminal value, and enterprise value from his own forecast. His process is methodical: build the forecast first, document the assumptions, then run the DCF on a validated base. That sequence is what keeps the valuation conclusion grounded in the underlying business data. This is an emerging strength: the Garhitz model is the first time he owned the full valuation arc solo.
Spotted in 2 Stories