Headline

Something brewing | prev. Head of Analytics & AI, slice | 40u40 AI builder’26

About

I build AI-first Analytics and Decision Science organisations that deliver measurable business impact fast. Currently, I lead a 50+ member Analytics, Data Science, BI, and AI team at a high-scale FinTech → small finance bank, partnering closely with CXOs across Product, Growth, Risk, Finance, and Operations. Principle: Turn data + AI into decisions that move P&L. [What I do] - Build high-performing Analytics & AI teams from 0 → scale - Design decision systems, not just dashboards or models - Apply GenAI + ML to compress cycle times, reduce cost, and unlock new capabilities - Translate complex data problems into clear executive narratives [AI, GenAI & Automation (Hands-on)] I actively design and deploy AI systems—not slideware. - Cursor – Primary AI-native development environment for analytics, data engineering, and ML workflows - Claude & GPT – Reasoning, code generation, debugging, summarisation, and analytical co-pilots - n8n – Workflow automation across analytics, ops, and product processes - LangChain – Agentic workflows and LLM orchestration - Antigravity / KiloCode – Advanced experimentation, optimisation, and code acceleration - NotebookLM – Rapid synthesis of long-form technical and business context [nucleus — AI Analytics Platform (Built In-House)] I built Nucleus, a unified AI-powered analytics platform that acts as the analytical brain of the org. It, - Connects conversations, data, code, workflows, and documentation across tools (Slack, Git, JIRA, data platforms, BI) - Converts messy business questions into end-to-end execution—analysis, validation, documentation, and delivery [Impact] - Work that earlier took 4–6 hours now completes in under 30 minutes - Teams operate ~1.25× faster without additional headcount - Near-zero context switching for analysts and product teams << It’s AI-driven analytics orchestration at scale >> [Business Highlights] - Org-wide profitability programs (revenue growth + tech cost reduction) - Scaled consumer lending AUM ~25% YoY through pricing, offer, and decision engines - Designed UPI rewards framework scaling txns 5M → 15M+ monthly - Built offer, recommender, and intent models, adding ₹1,000+ Cr annual disbursals - Led RBI regulatory reporting during bank merger - Built merchant lending (0 → 1) business operations [Core Skills & Keywords] Analytics Leadership, Data Science, AI Strategy, GenAI, LLMs, Decision Science, Product Analytics, Experimentation, ML Systems, Platform Building, Stakeholder Management, FinTech Analytics, Banking Analytics, Regulatory Reporting, Growth & Profitability

Location

San Francisco Bay Area

Work experience

Founder & CEO at Stealth, Jun 2026 - Present · 3 mos, San Francisco Bay Area, Collective Intelligence for Humans & AI Agents

Angel Investor at Stealth, Nov 2024 - May 2026 · 1 yr 7 mos, Bengaluru, Karnataka, India

Director of Analytics, AI Initiatives at slice, Nov 2023 - Jun 2026 · 2 yrs 8 mos, Bangalore Urban, Karnataka, India, Leading a ~50-member high-performing analytics team solving business-critical problems across AI transformation, UPI, Credit Cards, Lending, Marketing, CX, Fraud, and Strategy. AI initiatives, - Built "nucleus - AI native platform for Analytics" - scaled to 75+ people in Product, Analytics and Risk. ~30% analytics autonomously done by AI. Built all 15+ custom MCPs and tools (our version of openclaw) - Built suite of Donna.AI bots across Analytics, Tech, Legal, Marketing, HR etc. - AI Agentic assistant : Rolled out 25+ actions. Used by 100+ people daily across tech, data and risk - Legal Assistant : ~50% of the Legal and Compliance workload solved using Agentic assistant - Analytics agent : Executive assistant for data drive decisions and PnL forecasting - Marketing agent : Build marketing campaigns, content, drive growth experimentations Product, Strategy and Analytics : - Drive impact through product analytics, ops analytics, growth insights, and data-driven strategy, influencing key business decisions. - Designed and deployed an AI-powered internal analytics platform, fully integrated with CURSOR (Claude) + Slack, Jira, Confluence, Superset, Git, and a data knowledge graph—creating a seamless ecosystem for faster, smarter decision-making. - Achieved 40% faster problem-solving turnaround time and boosted team productivity by ~30%, setting a new benchmark for AI-enabled analytics at scale. Transforming the way Problems are solved using AI first approach

Associate Director, Central Analytics at slice, Nov 2022 - Dec 2023 · 1 yr 2 mos, Bengaluru, Karnataka, India, Led Growth for consumer lending product “slice borrow” helping reach all-time high AUM and monthly disbursals. - 10% incr. in monthly disbursals - 5%+ incr. in new user Activations & Retention - 2.5% increase in revenue Led CX Calling Ops efficiency improvement Conceptualised “Spend Analytics” module to help users improve spend habits with meaningful insights Led Adoption of structural frameworks and best in class analytics tech stack by the team that enabled faster and reliable analytics and insights

Sr. Manager - Analytics at slice, Sep 2021 - Nov 2022 · 1 yr 3 mos, Bengaluru, Karnataka, India, Building High-Performance Analytics Function at slice from 0 to 1 and now 1 to N slice is India's best credit card challenger to pay bills, manage expenses, and unlock rewards. We're reinventing how traditional credit cards work by offering a simple and transparent app to help our members transact easily. Oh, btw, we offer upto 2% cashback on every transaction, and our members have the option to convert monthly bills payable into 3 instalments, with no extra charges. Yup, you can count on us. We are backed by leading VCs such as Gunosy Capital, Das Capital, Finup, Blume Ventures India, Simile Venture Partner, EMVC, Tracxn Labs, Better Capital, Sachin Bansal's Navi and angel investors such as Kunal Shah. see less

GTM & AI Consulting (Acq. by Fractal.ai rebranded to Asper.ai) at Samya.ai, Jun 2021 - Sep 2021 · 4 mos, Bengaluru, Karnataka, India, Samya.ai is a Sequoia Capital funded Revenue Growth AI company in the CPG space operating at the intersection of demand and supply operations. We bring the power of deep learning, probabilistic machine learning and reinforcement learning approaches together with deep domain expertise to help CPG companies recapture revenue growth potential. Acquired by Fractal.ai (2021) Helped fortune 1000 CPG/FMCG Organizations unlock 10x Revenue Growth. - Founding member of Samya's Go-To-Market (GTM) team - Playing a pivotal role in signing the first few customers of Samya by driving successful Proof Of Value (POV) engagements - Identified continuous improvement strategies for the product by analyzing potential value adds - Taking things forward with Extreme Experimentation & Fail Fast approach

Sr. AI Consultant (Founding Team) at Samya.ai, Jul 2020 - May 2021 · 11 mos, Bengaluru, Karnataka, India, Driving Customer engagement and Consulting on everything AI/ML to F1000 CPGs/FMCG - Founding member of Samya's Go-To-Market (GTM) team. Setting up all the GTM and Customer engagement processes for our proprietary B2B platform - Identified continuous improvement strategies for the product by analyzing potential value adds

Sr. Strategy Analyst (Credit Cards - North America) at Citi, Oct 2018 - Jul 2020 · 1 yr 10 mos, Bengaluru, Karnataka, India, Formulating strategies for strengthening Existing "Credit Card" Customer engagement by targeting - "Right Customers with Right Offers at the Right Time" [Key Roles] ◆ Designing end to end Framework for personalized customer targeting ◆ Program and Team management for driving Credit Card engagement across North America ◆ Training and Mentoring people on Problem Solving, Machine Learning & Statistical concepts [Projects] 1. P&L forecasting F/W for Personalized targeting - ◆ Impact: Incremental revenue of ~15% ◆ Techniques : - Financial Behavior-based Segmentation - Multi-Logistic Regression-based Response Model - GBM based P&L forecasting tool - P&L simulation framework - Linear programming based Optimization 2. Channel optimization - ◆ Impact: Reduced marketing expense by 50%. ◆ Techniques : - Multi-Logistic Regression Response Model 3. Gamer Identification (Risk Analysis) ◆ Impact: Revenue save of ~10% of entire Portfolio ◆ Techniques : - Segmentation & Logistic Regression Model

Education

Bachelor of Engineering (B.E.), Computer Engineering, Vishwakarma Institute of information technology

AISSE, Maharishi vidya mandir