Nikhil Gundawar — Director of Engineering
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
Stackforce AI infers this person is a Fintech expert with strong capabilities in AI-driven analytics and decision science.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 7 mos
Skills
- Analytics Leadership
- Ai Strategy
- Payments
- Analytics
- Data Modeling
- Angel Investing
- Strategic Planning
- Reporting Systems
Career Highlights
- Built a unified AI-powered analytics platform.
- Led a 50+ member analytics team to drive business impact.
- Achieved 40% faster problem-solving turnaround time.
Work Experience
Stealth
Angel Investor and Advisor (1 yr 6 mos)
slice
Director of Analytics, AI Initiatives (AVP II) (2 yrs 6 mos)
Associate Director, Central Analytics (1 yr 1 mo)
Sr. Manager - Analytics (1 yr 2 mos)
Asper.ai
GTM & AI Consulting (Acquired by Fractal.ai under Samya.ai brand) (3 mos)
Sr. Consultant - AI & Analytics (Founding Team) (10 mos)
Citi
Sr. Strategy Analyst (Credit Cards - North America) (1 yr 9 mos)
Mu Sigma Inc.
Data Science Manager (~15 Analysts & Data Scientists) (1 yr 7 mos)
Decision Scientist (Led team of ~5 Data scientist) (1 yr 6 mos)
Education
Bachelor of Engineering (B.E.) at Vishwakarma Institute of Information Technology
AISSE at Maharishi Vidya Mandir
