AI Analytics and Stochastic Simulations Expert
Customer Success Manager and Agentic Context Architect at WisdomAI, and a data architect with over sixteen years in business intelligence. I work where enterprise data platforms meet applied machine learning: self-service modernization, decision systems that act rather than report, and the customer-facing architecture that gets them adopted at scale. For the past five years I have also been experimenting with stochastic simulation driven by agentic AI β a standing interest in whether autonomous agents can be made to model uncertainty, rather than only report on what has already happened.
Selected result β peer-reviewed operations research. My work on airport selectee-lane screening, published in the European Journal of Operational Research, demonstrated a greater-than-4% improvement in correctly identifying high-risk passengers over then-current practice. It is also where the simulation thread above began β see publications.
At WisdomAI I own enterprise customer outcomes and architect the governed business context that grounds conversational BI, AI-powered dashboards, and analytics agents in each customerβs data. Before that I designed Google BigQuery-based AI and analytics architecture for CVS Health, and spent seven years at ThoughtSpot β joining as a founding member of the Customer Success team and leaving as Manager of Customer Success for North America East, having led initiatives across 100+ customers representing $40M+ in annual contract value. In between I co-founded SQORai β an autonomous decision-intelligence platform that answers business performance questions with evidence-backed, ledger-reconciled answers β serving as Senior Director of Product Delivery & Client Enablement.
Alongside industry practice I publish peer-reviewed research on applied AI in analytics, serve as a reviewer and editorial board member for international journals and conferences, and served as an industry judge for the 2025 Globee Awards for Cybersecurity.
| Β | Β |
|---|---|
| Research | 5 peer-reviewed journal articles, incl. European Journal of Operational Research, plus an M.S. thesis β see all |
| Awards | 4Γ Platinum Winner, 2025 β TITAN Business, TITAN Innovation, and NOBLE Business Awards (Γ2) β see all |
| Peer review | Reviewer for 5 international conferences and 4 journal submissions; editorial board member for 3 IAEME journals β see all |
| Education | M.S. Industrial & Systems Engineering, SUNY Buffalo Β· B.Eng. Mechanical Engineering, Goa University |
My published research examines how autonomous and AI-driven analytics change decision-making inside operational systems:
Email parabgautam@gmail.com, or find me on LinkedIn. A full CV is available on this site and as a PDF.
βAgents move through time; you abide in the eternal now.β — Gautam Parab