Data & AI Product · Analytics
Building systems that turn data into decisions — from enterprise analytics to AI-native products.
12 years in data and analytics. Since May 2026, building AI products end to end — from pilots to working prototypes.
12 yrs experience
Data, AI & Product · Luxembourg
12 years
Building data, analytics & AI systems
$9B+
In BI strategy initiatives owned
€200M+
Opportunities surfaced, career total
€33M
Cost savings delivered, career total
What I do
Three ways I create value
Analytics Leadership
Built and led analytics systems that supported product, marketplace, marketing, supply chain, and finance decisions across global teams.
Data-to-Decision Systems
I design metrics, workflows, and interfaces that move beyond reporting and help people act on data.
AI-Native Product Systems
I build AI products end-to-end — canonical data layers, control-plane consoles, multi-agent pipelines — with scoring kept deterministic, AI doing research and drafting, and a human approving what matters.
Flagship Project
AI-Native Aerial Business · In build
Vyoman
An end-to-end AI-native aerial-photography business — portfolio site, print store (Stripe + Gelato), a Django ops console with an LLM intelligence dashboard, a canonical data layer, and an LLM + vision model creative pipeline. Designed and built solo. Infrastructure is complete; commercial launch is pending business registration.
- Canonical data layer (VSIN registry) — single source of truth across console and public site
- Vantage (vantage.vyomanaerials.com) — 12-phase LLM mission intelligence: streaming LLM-generated briefs, airspace WMS compliance, weather scoring, FLUX shot references, portfolio ROI attribution
- ISR propagation: flip an item live in the console, the site updates in seconds — no deploy
- Creative pipeline prototype (Vyoman Studio): footage → condition-graded photos → story draft
System Architecture
Django Control-Plane Console
console.vyomanaerials.com · Railway
Canonical Data Layer
Neon Postgres · VSIN registry · dim_item / dim_variant
Portfolio
Next.js · ISR
Print Store
Stripe · Gelato POD
vyomanaerials.com · shop.vyomanaerials.com
Selected Impact
Built on 12 years of analytics leadership
Selection Expansion — BI Lead Advising Director-level Reviews
Sole analytics lead for Amazon's cross-border seller program (~$4B GMS) — advised Director-level monthly business reviews; rebuilt the QBR framework and source-of-truth reporting for 20+ downstream teams across 17+ global stores.
Big Bet analytics requirements — Listing Preferences + Lighthouse
Wrote the analytics vision and launch BI requirements for two Big Bets as sole BI resource: Listing Preferences ($11.1B addressable GMS), migrating Amazon's cross-border listings (32-day sprint to the Dec 2025 global rollout), and Lighthouse ($1.8B), onboarding ecommerce platform integrators, approved by Amazon's Europe VP.
Built EU Private Brands BI from scratch
First BI hire and sole resource for a 50-person team for 10 months; formally managed 3 direct reports and mentored 2 interns. Delivered 22 reports and 5 dashboards in the first 20 months. WBR automation adopted as gold standard across all Private Brands teams. Promoted L5→L6 in Q3 2022.
~€110M GMS Opportunity — Catalog Defects
ASIN defect analytics uncovered a ~€110M GMS opportunity adopted in senior leadership quarterly planning. The defect dashboard saved 400+ hours a year for Private Brands PMs.
These represent the kinds of problems I've worked on at scale - turning data into decisions across product, growth, and operations.
Projects
Selected Projects
Selected AI and data-driven systems I've built
How I think
I build systems across data, product, and decision-making - turning fragmented signals into structured insights, and tools that help people act, not just observe. Data is only valuable when it changes a decision - so the question I build toward is always: what should someone do next?