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Data Governance <> Analytics, Growth Strategy & AI Agents | Government , Ecom, Retail, Agriculture, Tolls | ADQ | IIT Roorkee
I work at the intersection of data, AI, and business strategy, helping organizations move from fragmented data and AI ambition to structured, value-driven execution. Over the past 10+ years, I’ve led data strategy, MDM, and governance initiatives across government and enterprise ecosystems (ADQ, Silal, Agthia), designing scalable data foundations and enabling high-impact decision-making. I’ve also driven AI use case identification and prioritization, translating opportunities into clear, executable roadmaps with measurable business value. My background spans advanced analytics, forecasting, and product-led growth, including contributing to $20M+ daily GMV at Noon through attribution, optimization, and customer journey improvements. More recently, I’ve been building AI agents and exploring computer vision applications, bridging strategy with hands-on execution. I’m particularly interested in roles and problems where AI is not just implemented, but strategically embedded to drive real outcomes. Portfolio & projects: https://www.ayush-verma.com/
Columbia Business School
Digital Strategies for Business Transformation, Digital Strategy
August 1, 2024 – December 1, 2024
Mckinsey Forward Program
Specialization in Management Skills, Management Consulting
November 1, 2022 – May 1, 2023
Indian Institute of Technology, Roorkee
Bachelor's degree
January 1, 2012 – January 1, 2016
Paramount Academy
12th
N/A – Present
DAV Public School
10th
N/A – Present
Indian Institute of Technology, Roorkee
Bachelor of Technology, ENGINEERING
N/A – Present
Anonymous
Senior Manager - Data & AI Governance
May 1, 2026 – Present
Abu Dhabi Emirate, United Arab Emirates · On-site
Contango
Techincal Engagement Manager, Data & AI
February 1, 2025 – April 1, 2026
Abu Dhabi · On-site
Silal
Manager Data strategy & Transformation
August 1, 2023 – January 1, 2025
Dubai, United Arab Emirates · On-site
Namshi.com
Consultant (Growth analytics & Digital Strategy)
May 1, 2023 – August 1, 2023
Dubai, United Arab Emirates · On-site
right farm
Analytics Manager Growth and Strategy
April 1, 2022 – March 1, 2023
right farm
Business Intelligence Manager
April 1, 2022 – March 1, 2023
noon
Manager (Growth & strategy || Customer, Product & Marketing Analytics)
August 1, 2021 – March 1, 2022
noon
Lead Business Analyst
November 1, 2020 – July 1, 2021
noon
Senior Business Analyst (Strategy & Onsite Growth)
July 1, 2019 – November 1, 2020
noon
Strategy Manager
May 1, 2018 – March 1, 2022
noon
Business Analyst
May 1, 2018 – June 1, 2019
EXL
Consultant
April 1, 2017 – April 1, 2018
Gurgaon, Haryana, India
Axtria - Ingenious Insights
Business Analyst
June 1, 2016 – March 1, 2017
Gurgaon, India
Zophop Tech.
Business Analyst Intern
May 1, 2015 – August 1, 2015
Mumbai Area, India
YNG Media
Tech Project intern
May 1, 2015 – July 1, 2015
New Delhi Area, India
SPIC MACAY
Coordinator Finance
August 1, 2014 – March 1, 2015
IIT Roorkee
Verity : EHS AI Compliance Tool
April 1, 2026 – Present
Verity EHS is an AI-powered Environmental, Health & Safety compliance platform built for the global chemical sector, developed as a prototype showcasing how AI transforms traditional EHS management systems. The platform ingests regulatory documents from global EHS authorities (OSHA, HSE UK, EU-OSHA, KOSHA, ILO, ISO) and makes them queryable through natural language — workers can ask compliance questions in English or Korean and receive cited, regulation-backed answers in real time. Core AI capabilities built: RAG-based regulatory Q&A with source citations (pgvector + GPT-5.4-mini) AI-generated work permit risk assessment pre-fill from retrieved regulation chunks Dynamic safety checklist generation tailored to specific permit context Automated compliance gap detection before PDF report generation Placeholder AI features for incident-to-regulation lookup and permit risk scoring Platform features: document library, work permit request and approval workflow, proof submission checklist with photo upload, and automated PDF compliance report generation streamed directly from memory. Architecture: Three-agent Claude Code team (Infra, Backend, Frontend) running in parallel, coordinated through shared handoff documents. Backend built on FastAPI + PostgreSQL + pgvector in Docker. Frontend on Next.js 14 with a mobile-first design. No persistent file storage — all compliance artifacts generated in memory and delivered on demand.
LexDraft : Prelegal AI Document Curation
March 1, 2026 – Present
Build an AI tool to draft prelegal Mutual NDA, offer letter, cloud service agreement, DPA, design partner agreement, and AI addendum documents.
Personal Portfolio with AI Twin Chatbot (ayush-verma.com)
February 1, 2026 – Present
Built a personal portfolio platform integrated with an AI-powered “AI Twin” chatbot to showcase my work, experience, and thought process in an interactive format. The platform goes beyond a traditional static portfolio by enabling users to engage directly with an AI agent trained on my professional background, projects, and areas of expertise. It allows recruiters and stakeholders to explore my experience through natural conversations, improving discoverability and engagement. Designed end-to-end user journeys — from content structuring and information architecture to conversational flows — ensuring the AI provides relevant, contextual, and accurate responses. This project combines AI agents, prompt engineering, and product thinking to reimagine how personal branding and professional portfolios can be experienced.
Analysis of online Indian Handicraft market
November 1, 2015 – April 1, 2016
1. Data scrapping from Amazon and Flipkart; then processing it. 2. Creating set of business rules and modifying data accordingly for analysis. 3. Preparing clusters for each type of handicraft product and then find out intentions of customers towards product within that clusters, across the stores. 4. Quantitatively analyzing product distribution according to their categories (wood, marble, brass, metal) across different region. Also analyzing seller's data and product's data. 5. Performance analysis of various categories for Flipkart and Amazon by considering different hypothesis tests.
Adhesive Properties of natural resource (Jackfruit Sap)
January 1, 2015 – April 1, 2015
1. Studying the adhesive properties of Jackfruit Sap by preparing an adhesive consist of Sap, hot water and wheat flour. Optimizing our adhesive's cohesiveness and adhesiveness, by varying amount of different constituents and preparing some more samples. 2. Performing peel strength test and comparing that with the strength of conventional adhesive (fevicol) and presenting comparison curve for same.
Learning Microsoft 365 Copilot
June 25, 2026 – Present
Mckinsey Forward
McKinsey & Company
June 25, 2026 – Present
Generative AI for Business Leaders
June 25, 2026 – Present
Power BI: Dashboards for Beginners (2022)
June 25, 2026 – Present
AIGP Prep — AI Governance
International Association of Privacy Professionals (IAPP)
June 25, 2026 – Present
Data Governance of Databricks (Unity Catalog)
Databricks
June 25, 2026 – Present
Microsoft Purview : Data Cataloging & Governance
Udemy
June 25, 2026 – Present
R- programming
Coursera Course Certificates
June 25, 2026 – Present
Foundation of digital marketing and e-commerce
June 25, 2026 – Present
Copilot in Excel: Supercharge Your Productivity
June 25, 2026 – Present
Databricks Fundamental
Databricks
June 25, 2026 – Present
AI Challenges and Opportunities for Leadership
June 25, 2026 – Present
Google Certified Introduction to LLM
June 25, 2026 – Present
Prompt Design in Vertex AI Skill Badge
June 25, 2026 – Present
End to End Fundamentals - LP100
Profisee
June 25, 2026 – Present
AI Coder: Vibe Coder to Agentic Engineer
Udemy
June 25, 2026 – Present
Financial Analyst Skill Training
Udemy
June 25, 2026 – Present
Using Power BI with Excel
June 25, 2026 – Present
Microsoft Copilot Studio : Future of AI Agents
Udemy
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from EHS AI compliance tools to pre-legal document curation and personal AI chatbots, demonstrates a strong inclination towards innovation and continuous learning, particularly in the AI space. Their extensive experience across various industries (e-commerce, government, agriculture, finance) and roles (manager, consultant, analyst) indicates adaptability and a broad perspective, which are valuable for cultural fit. The focus on strategic impact and team leadership aligns with a results-oriented culture. The pursuit of certifications in AI governance and LLMs further underscores a commitment to staying current with industry trends.
Soft Skills & Operational Fit
The candidate's experience highlights strong leadership, stakeholder management, and communication skills, particularly in translating business requirements to technical teams and presenting to C-suite executives. Their project descriptions indicate a proactive approach to problem-solving and a focus on driving tangible business outcomes. The diverse project portfolio suggests adaptability and a collaborative mindset, crucial for operational fit in dynamic environments.