Analytics Leader · AI Systems Builder
Building AI-powered decision systems for analytics and product teams.
11+ years of experience. Now building AI-native tools that turn data into decisions.
11+ yrs experience
Ex-Amazon L6 · Luxembourg
11+ years
Experience · 9 at Amazon (2017–2026)
$15B+
Value of initiatives with BI strategy authored
€110M
GMS opportunity found through analytics
8,000+
Analyst hours/year automated across career
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.
Applied AI Product Building
I build AI-powered tools that combine structured data, LLMs, APIs, and clear UX to solve real user problems.
Featured Project
Restaurant Intelligence · B2B SaaS
Disha Analytics
Compresses 2 analyst-days of restaurant research into a 5-minute AI-powered intelligence report — deployed in production, with pilot reports run on live restaurants.
- 6 specialist AI agents across 8 public data sources
- Three delivery modes: Public Scan, Validated Report, Owner Walkthrough
- Ranked action plan, competitor benchmark, and hypothesis checklist per report
Built end-to-end: Django 5 + React 18 + PostgreSQL + Celery/Redis async pipeline. Deployed on Hetzner. This is the consulting instinct I built at Amazon — turning complex data into a decision-ready output under time pressure.
Pipeline Architecture
Restaurant name + city
optional: owner financials, menu, POS export
Reviews
Menus
Competitors
Financials
8 data sources scraped
6 Specialist AI Agents
Action Plan
Benchmarks
Hypotheses
Decision-ready report in ~5 min
Selected Impact
Built on 11+ years of analytics leadership
$11.5B iGMS Programme — Selection Expansion
Sole BIE owner for the $11.5B iGMS WW selection expansion program. Rebuilt QBR framework, metric taxonomy, and source-of-truth reporting for 20+ downstream reports across 17+ global stores. Built Selexor Product Dashboard V2 — 4-tab QuickSight spanning EU10, NA, MENA, and SA.
$11.1B BRD — BIL-to-LP Migration Big Bet
Authored the full-vision BRD and P0 requirements as sole BI resource under a 32-day timeline. Enabled pilot launch October 2025 and global Stage 2 rollout December 2025.
Built EU Private Brands BI from scratch
First BI hire, sole resource for 50-person team for 10 months. Grew team to 3 BIEs. 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. Dashboard saved 50+ hours/week for HPB PMs, cited in Category Leader L7 promo assessment.
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 focus on systems at the intersection of data, product, and decision-making - turning fragmented signals into structured insights, and building tools that help people act, not just observe. The question I keep coming back to: what should someone do next, given this data?