Aditya Sinha
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.
Work Experience
Careem - Remote · United Arab Emirates
Driving marketing efficiency and AI-led growth strategy using incrementality testing and automated AI pipelines.
• Optimized cross-channel marketing spend by executing incrementality A/B tests across TikTok, Meta, and Google, with a potential annualized burn reduction of USD 100,000. • Developed growth product strategies through competitor benchmarking and marketing analytics. • Led a cross-functional team to build a roadmap for an AI-led creative intelligence layer — automated pipelines that benchmark competitor ads and surface data insights.
MyGlamm · Good Glamm Group - New Delhi, India
Owned the GTM and analytics charter for a 1,000Cr+ GMV D2C group, pairing AI/ML and pricing science to grow revenue and expand margin. Promoted from Business Analyst to Head of Analytics within a year.
Good Glamm Group was a PE-backed D2C roll-up that scaled to 1,000Cr+ GMV, backed by Accel, Prosus, and Warburg Pincus.
• Owned the GTM redesign that delivered +15% YoY top-line revenue growth across a 1,000Cr+ GMV D2C business — leading pricing experiments, funnel optimisation, and upsell/cross-sell strategy end to end. • Designed and deployed a dynamic pricing system in-house (no third-party vendor) that cut discount dependency by 35% and expanded contribution margin (CM2) by 25% without trading off volume. • Redesigned multi-warehouse inventory placement with ML-driven guardrails, cutting shipment splits by 75% and saving ₹13Cr/month in logistics costs with zero additional headcount. • Rolled out in-house AI-powered (LLM) customer service agents that lifted NPS by 14% while improving service turnaround. • Delivered 40+ custom dashboards across revenue, user, social, and product analytics, giving leadership real-time visibility. • Led a team of data analysts across revenue, user, social media, and product analytics.
J.P. Morgan - Mumbai, India
Validated risk models and executed macroeconomic stress tests under BASEL and CCAR scenarios.
• Validated risk models across asset classes and executed macroeconomic stress tests under BASEL and CCAR scenarios for capital planning. • Tightened process controls and reporting workflows with cross-functional partners, closing regulatory audit gaps. • Reviewed daily capital movements and market signals; surfaced liquidity risks to senior stakeholders.
Goldman Sachs - Bengaluru, India
Supported live M&A and capital-markets mandates with investment analysis, commercial due diligence, and client materials across sectors.
• Conducted sector-level investment analysis used directly in live deal recommendations across Goldman's IB coverage. • Built commercial due-diligence frameworks and contributed to 75+ investor materials per quarter across M&A, fundraising, and strategic advisory mandates. • Executed feasibility analyses for M&A opportunities and managed revenue reconciliations for strategic lending accounts. • Automated data-validation workflows across deal reporting, reducing manual reconciliation time by ~40% and improving the accuracy of client-facing financial models.
Education
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.
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.