Gurugram, Haryana, India
Strategy and analytics leader with 7 years of experience at the intersection of commercial problem-solving and advanced analytics. I've spent my career doing one thing consistently: taking complex, ambiguous business problems — in Healthcare, BFSI, Retail, and Technology — and structuring them into decisions that executives act on. Not dashboards. Not models for their own sake. Decisions. At Innovaccer, I led the end-to-end commercialisation of a Medicare Advantage analytics solution across 5 US payer and provider clients — delivering $238M in healthcare savings and a 1.3-star CMS rating improvement. At PulsePoint (WebMD), I've been leading GTM strategy and pricing architecture for Value-Based Care market entry, shaping executive decisions on a >$2B opportunity. At Cars24, I reversed a declining auction vertical and delivered $80M in revenue impact leading a cross-functional team. The thread across all of it: hypothesis-driven problem structuring, cross-functional leadership, and accountability for commercial outcomes — not just analytical outputs. Currently pursuing MBA at FMS Delhi. Open to Senior Consulting and Strategy roles.
1) Enabled leadership to pursue an untapped market segment by structuring a full GTM strategy for Value-Based Care — conducting competitive benchmarking across 10+ payer and provider players, designing pricing architecture, and delivering a prioritised commercialisation roadmap that supported an executive decision to target a >$2B addressable opportunity in the US healthcare ecosystem. 2) Freed 60% of analyst capacity for higher-value strategic work by diagnosing a broken PLD report development process and deploying AI-driven automation — reducing active headcount from 5 FTEs to 2 in a supervisory capacity, cutting report turnaround time by ~65%, and generating an estimated $180K in annualised cost savings. 3) Informed the company's data acquisition strategy by leading a structured evaluation of 8+ data providers — scoring each across coverage depth, quality, and unit economics — and delivering a board-ready recommendation that unlocked a 25–30% expansion in programmatic campaign addressable reach. 4) Shaped resource-allocation decisions worth $15M+ by leading market opportunity assessments across the US and UK — synthesising competitive intelligence, regulatory context, and demand-side feasibility into a structured recommendation framework presented directly to the executive leadership team within an 8-week cycle. 5) Delivered 4 analytics solutions on or ahead of schedule by directing cross-functional R&D initiatives — structured each workstream with clear hypothesis prioritisation, allocated responsibilities across engineering, data science, and product functions, and maintained delivery cadence against aggressive 6-week timelines.
1) Generated $238M in healthcare savings and $83M in quality bonuses across 5 clients by commercialising a Medicare and Medicare Advantage ML solution end-to-end — structured the business problem, built the predictive model, and managed full client deployment — improving average CMS star ratings by 1.3 points and materially strengthening each client's position in value-based care contracts. 2) Unlocked $57M in annual reimbursements and eliminated 3.3 months of manual medical-coder workflow by designing a health-risk identification model achieving 75% accuracy — raising risk capture rates by 23% and enabling coders to redeploy capacity toward complex case review, improving both clinical throughput and financial outcomes. 3) Secured $8M in upsell revenue and a multi-year recurring contract for a major nephrology network by delivering a Generative AI CKD disease-progression model that directly reduced patient fatalities by 3% — establishing a clear, measurable ROI link between analytics investment and clinical outcomes cited by the client as the primary driver of contract extension. 4) Achieved a 6x productivity gain and $300K in cloud cost savings by structuring and deploying an AI-driven certification workflow — compressing cycle time from 6 weeks to 1 week and reducing operational headcount from 7 FTEs to 1, with 6 FTEs redeployed to higher-value clinical and analytical work within 3 months of go-live.
The CKD model → $8M upsell, multi-year contract, 3% fatality reduction The care gap closure → $57M in reimbursements, 23% risk capture improvement The OKR platform → leadership decision-making consolidated across 6 business units
1) Reversed a declining auction vertical to deliver $80M in revenue impact by leading a 6-person cross-functional team to diagnose root causes, architect an ML-based catalogue-ranking engine, and deploy a personalised buyer-seller engagement system — validated through real-time A/B testing — yielding 30% growth in buyer activity and 50% increase in seller participation over a 4-month period. 2) Recovered $30M in post-auction revenue leakage by identifying systematic pricing misalignment across the marketplace and building a price-sensitivity negotiation model — raising deal-closure rates by 40% and enabling the commercial team to dynamically calibrate offers at point of negotiation, eliminating value lost to sub-optimal pricing.
Recruited into the firm's elite 13-member Centre of Excellence to lead high-impact analytics engagements for external clients across Healthcare, Retail, BFSI, and Technology — scoping complex business problems, building analytical recommendations, and managing client-facing delivery across 5 distinct engagements in 18 months. 1) Generated $12M in incremental annual revenue for a major social media client by designing and validating a graph-based AI recommendation engine — increasing scroll depth by 32% through a rigorous A/B experiment and delivering a clear attribution methodology that enabled the client's product team to commit to full deployment. 2) Delivered $7M in revenue uplift for a global retail client by deploying session-level behavioural analytics — identifying window shoppers at point of intent and enabling real-time personalised intervention that lifted conversion rates by 14%, using clickstream data as the sole analytical input within a 10-week engagement. 3) Contributed to a 9% revenue increase and $3M profitability uplift for a European fintech client by building a subscription-renewal prediction model at 96% accuracy — enabling the commercial team to identify at-risk accounts 8 weeks before renewal and deploy targeted retention offers, reducing churn by 20% within the first 6 months of deployment. 4) Saved $1.2M in workforce costs and 1 month of engineering effort for a leading European bank by diagnosing a monolithic codebase as the structural root cause of escalating delivery costs — designing a graph-theory-based decoupling strategy and delivering a sequenced restructuring roadmap that enabled engineering leadership to prioritise the highest-leverage components and commit to a phased implementation plan.