AI, Analytics & Commercial Strategy Leader · Experience & Education
I started at Goldman Sachs structuring M&A transactions — now I build the AI and commercial systems that move revenue. Across 7 years at Tier-1 finance (Goldman Sachs, J.P. Morgan) and high-growth consumer tech (Good Glamm Group, Careem), I work at the intersection of applied AI, pricing science, and GTM execution: +15% YoY revenue growth, ₹13Cr/month in ML-driven logistics savings, 35% lower discount dependency through dynamic pricing, and in-house LLM agents that lifted NPS. Data is my weapon, not my job title — I use machine learning, pricing models, and AI-led systems to make commercial decisions faster and better than the competition.

Careem - Remote · United Arab Emirates
Driving marketing efficiency and AI-led growth strategy — using incrementality testing and automated AI pipelines to cut acquisition costs and benchmark the competition.
MyGlamm · Good Glamm Group - New Delhi, India
Owned GTM and analytics for a PE-backed D2C roll-up that scaled to 1,000Cr+ GMV (Accel, Prosus, Warburg Pincus). Promoted from Business Analyst in less than a year. Role concluded following the company's strategic wind-down.
MyGlamm · Good Glamm Group - New Delhi, India
Member of the Growth team on a PE-backed D2C roll-up — building in-house MIS, supporting acquisitions, and commercial ventures.
J.P. Morgan - Mumbai, India
Supported the CIO and Treasury function with financial analysis, risk-model validation, and regulatory compliance through volatile macroeconomic cycles.
Goldman Sachs - Bengaluru, India / New York
Supported live M&A and capital-markets mandates with sector-level investment analysis, commercial due diligence, and client materials.
Master of Business Administration (MBA), Finance — graduate business education spanning corporate finance, strategy, and analytics.
Master of Business Administration (MBA) in Finance, with coursework across corporate finance, valuation, commercial strategy, and managerial economics.
Bachelor of Technology (B.Tech), Electrical Engineering — quantitative foundation in systems, control, and computation.
B.Tech in Electrical Engineering. Coursework included Network Analysis, Linear Integrated Circuits, Control Systems, SCADA Systems, Econometrics, and Microprocessors — the quantitative grounding behind a data- and AI-driven career.