I'm a Strategy and Technology Consulting Manager with 12 years across automotive OEMs, B2B tech, and Tier-1 consulting firms (Accenture, Monitor Deloitte). I've owned a $80M brand P&L, rationalized a 10,000-app enterprise portfolio for a global automotive OEM, led a $50M pricing transformation for one of the US's largest auto parts retailers, and spent the last year driving agentic AI adoption as part of Accenture's Reinventor Strategists team.

This GitHub is my build-in-public journey — translating 12 years of strategy consulting IP, industry domain depth, and growing technical fluency into open-source tools, AI-powered frameworks, and working prototypes.

12 yrs ─────►

 │ Tata Motors       │  MBA (SIBM)  │  Mahindra GMC (3 roles)     │ Monitor Deloitte  │ Accenture Strategy │
 │ Manufacturing     │  Marketing   │  Analytics · Brand · Channel│ Customer Strategy │ Tech Strategy      │
 │ VP's office + PMO │  Operations  │  $80M P&L · 2M customers    │  XaaS · M&A · GTM │ EA · Agentic AI    │

My uncommon combination:

• Built CLTV models on 2M+ customers and can present the so-what to a CMO
• Rationalized 10K-app enterprise portfolios and understand the commercial value story behind every cut
• Designed post-M&A commercial architectures (HP/Polycom $3B) and led the change programme
• Working with AI agents daily at Accenture and building the tools to prove it

BizOps-native strategic decision support tool. Five-dimension scoring model plots a portfolio of initiatives on a priority matrix — Accelerate Now · Build the Case · Delegate · Deprioritise. AI-generated project briefs via the Anthropic API, calibrated to the organisation's language and strategic priorities. Real-time token and cost tracking. Ships with three pre-configured demo contexts (Google gTech Ads S&O · Cisco GTM · ServiceNow S&I) and full initiative lifecycle management. Built from the same prioritisation pattern used across three real consulting engagements — Mahindra dealer network scoring, Monitor Deloitte vendor assessment, Accenture IT investment re-routing.

No-code data workbench for consultants and analysts. 40+ operations — joins, aggregations, time intelligence, segmentation — in a single browser file. No installation, no server, works offline. v2.0 adds dark/light theming, Canvas mode (pipeline as a live node graph), and smart stats bar with auto-computed Σ/μ aggregates. Built because I needed it on a pricing engagement where I had one consultant, no SQL access, and no Alteryx licence.

Full-spectrum career map across 5 views: skills (70+ mapped across 5 confidence buckets), career archetypes, industry coverage, experience timeline, and strategic synergies. Built as a data-driven system, not a slide deck — the JSON is the source of truth, the HTML reads from it.

• Pivoting into: AI Strategy & Advisory · Strategy & Operations (BizOps) · Product Management roles at tech-forward companies
• Building toward: Senior AI PM · AI Strategy Lead · S&O Lead · Product Strategy Director
• Learning publicly: Python · LangChain · LangGraph · RAG · System design · Agentic architectures

PROVEN (12 yrs evidence)           BUILDING NOW (hands-on)
────────────────────────           ───────────────────────
Go-to-Market Strategy              Python · LangChain · LangGraph
Revenue Growth Management          RAG · Vector DBs · Agents
Enterprise Architecture            System Design (code + docs)
Customer Analytics (CLTV/SQL)      FinOps · Cloud Economics
Post-M&A Operating Models          AI Governance Frameworks
Pricing Transformation             Prompt Engineering (strategy)
Brand & Product P&L                Streamlit · GitHub Pages
GenAI Adoption Strategy ←──────────────── actively bridging ───────────────►

If you're working on AI strategy, strategy & operations, product management in the enterprise/automotive/tech space, or building tools for strategy practitioners — I'd love to talk.

DM me on LinkedIn · Open to: advisory conversations, collaboration, and senior AI PM / S&O Lead / product strategy / AI advisory roles at companies building at scale.