Mumbai, Maharashtra, India
Strong believer in compound effect & asymmetric returns Competitive & Curious Aiming to build an impactful venture, create value and achieve financial success while fostering Personal growth Work: Amex, Mckinsey & Company, ITC and UC IITB: General elections, Learning from exceptional peers, Bending rules, Semex at 🇪🇺, IDEAS startup Fitness enthusiast & a certified trainer and nutritionist Certified 2D animator and graphic designer
Building a global RMG 2.O platform Solving problems with high Magnitude X Depth
Learnt how to build data backed insights & make models
Problem | India’s taxation on gambling & game of skill is harsh - 28% on deposits and 30% on withdrawals Solution | The FullToss prepaid closed loop card that offers 100% moneyback at partner brands and restaurants for special events—like India winning the World Cup or RCB winning the IPL Status | We closed it due to seasonality, low event frequency, a small market size, and limited revenue potential from brand marketing budgets Numbers | Launched FullToss acquiring 1000+ customers in 15 days of launch and raised INR 700k capital Next | We’re building hybrid RMG
Impact | Achieved a 6% cost reduction in shrimp procurement by replicating cluster-based FPO business model â–ª Projected 15-month breakeven period by analyzing an automation proposal with Discounted Cash Flow model â–ª Proposed INR 7Mn annual savings by following industry 4.0 compliant partial and fully automation projects Initiative | Engaged with 10+ FPOs identifying key issues & analyzed unit farm economics model in 3 ABD sectors â–ª Fostered digital transformations by evaluating 5+ startup services, transforming shrimp procurement process â–ª Conducted 8 expert interviews to establish 3 categories of urgency for automating the aqua processing plan
US health insurance conglomerate | Buy-side Due Diligence (DD) for potential acquisition of two pharmacy players ▪ Modelled 12% reduction in insurance expense by developing a PMPY expenditure report in 4 operation sectors ▪ Evaluated asset’s 10-yearrevenue CAGR and EBITDA via top-down bridge and multiple linear regression analysis Risk HCC margin model | Performed univariate and persistency analysis achieving 92% accuracy in risk coding ▪ Built a Decision Tree ML risk prediction model on HCC Combinations resulting in $1 Mn in additional revenue