Mihir Vaidya

• • Partnered directly with the founders to develop the company's European go-to-market strategy, leveraging AI-driven market analysis to refine pricing, evaluate expansion opportunities, and shape commercial initiatives that generated €360K in incremental revenue.

• • Partnered with stakeholders across 11 business verticals to identify forecast inefficiencies and create a data-driven framework to backtest the forecasts by defining core KPIs, improving forecast accuracy by 8% and enabling more informed strategic decisions.

• • Led a team of two to implement six scenarios that capture intra-currency interest rate movement across five major currencies, coordinating across treasury, business and technology to revamp asset-liability interest income/expense projections worth $13B.

• • Identified & fixed critical gaps around macroeconomic scenario forecasts of interest expense of Goldman's unsecured funding worth $210B, capturing additional interest expense of $660M and helping the firm avoid regulatory scrutiny.

• • Reduced operational risk to firm by rebuilding a legacy model used to charge marginal cost of funding for $480B+ of assets, improving model accuracy by 12% and reducing time spent on maintaining model monthly from thirteen to two days.

• • Collaborated with VPs across 5 business verticals to provide granular view of Treasury's balance sheet forecasts through a Python based dashboard, cutting down turnaround time for capital allocation decisions worth $800B from one month to two weeks.

• • Bolstered firm liquidity by $1B by assessing and capturing impact of changes in Mark-to-Market (MTM) value of swaps and treasury securities worth $260B under 24 interest rate shocks.