Commercial Analytics & Applied AI Leader

Commercial analytics leadership for teams that need trusted revenue, pricing, margin, and pipeline decisions. Senior Data Analyst EMEA at Medline, building the decision systems underneath the dashboard.

I work where commercial numbers lose credibility: in forecast calls with weak stage discipline, in pricing files without control logic, in margin narratives distorted by FX, rebates, or attribution noise, and in CRM data nobody fully trusts. Based near Stuttgart, I rebuild the governance, review cadence, and analytical logic that let commercial and executive leaders act on revenue, margin, pricing, and pipeline signals with less noise and more control.

The differentiator is operator range. I have been writing machine learning in TensorFlow for 10+ years while also owning sales, forecast, margin, and execution problems in the real business. That combination is what makes me effective in consulting work and in Head or Director-level analytics mandates.

For recruiters and hiring managers

Hiring for Head or Director-level analytics leadership?

Best-fit role families include Head of Analytics, Director of Analytics, Head of Commercial Analytics, and BI & AI Transformation Lead.

Head of Analytics
Director of Analytics
Head of Commercial Analytics
BI & AI Transformation Lead

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Commercial operator mindset Hands-on ML and BI builder Applied AI with control

Senior Data Analyst EMEA at Medline 10+ years writing ML in TensorFlow Production implementation, not AI theater

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Decision topology

Signal scan Awaiting active signal

Where I create leverage

Commercial governance before automation.

When the underlying commercial logic is weak, reporting multiplies confusion and AI accelerates it. I start by stabilizing forecast governance, pricing controls, margin attribution, CRM discipline, and executive review logic so the number itself becomes trustworthy again.

Commercial scope: Forecast governance, pricing controls, margin interpretation, CRM accountability, executive reporting, and cross-functional commercial cadence
Operating style: Hands-on build capability from SQL and Power BI through TensorFlow ML systems, with auditability, control, and operating ownership built in from the start
Current seat: Senior Data Analyst EMEA at Medline, shaping commercial analytics architecture and decision discipline across European markets

€5M+ sales growth personally generated through frontline sales roles

€1.3M UK growth in 2023, approximately 4x above target

4% → 57% inside sales growth turnaround across 38 markets

Scroll to watch the network move from fragmented commercial signals into tighter financial and governance structure. Hover any action, offer, or filter and it will collapse into a denser inference graph around the underlying decision theme automatically.

€5M+

Sales Growth Personally Generated

13+

Years Across Commercial Leadership & Analytics

10+

Years Writing Machine Learning (TensorFlow)

Acquisitions Integrated

4→57%

Inside Sales Growth Turnaround

Selected Delivery Stack

Tools Chosen To Support Control, Governance, And Commercial Judgment

The technology comes after the commercial problem is clear. This stack exists to make messy financial and commercial data more reliable, more auditable, and more usable inside live decision workflows with owners, review logic, and accountability. It is build depth, not course-level familiarity.

Built around reality

Forecasts, pricing, margin, CRM, and executive reporting each need different controls. The stack reflects that.

Audit before automation

I favor tools that support traceability, validation, and safe rollout rather than black-box novelty.

Operator bias

Every choice is shaped by what leaders actually need to trust and act on each week.

Core workflow

Reporting, automation, and controlled AI each have a role.

Power BI carries the decision surface, Python handles repair and orchestration, TensorFlow handles hands-on ML implementation, and LLM APIs are applied only where narrative, retrieval, or controlled automation adds measurable value.

Semantic models and commercial reporting layers in Power BI
Python for pipeline logic, validation, APIs, automation, and ML implementation
LLMs used inside guarded workflows rather than loose prompts

LLM APIs & Orchestration

Controlled narrative, commentary, and document workflows

Power BI

Executive reporting, semantic models, and margin walks

Python

Automation, validation, APIs, and analytics engineering

W&B

Experiment tracking across 19+ training runs

TensorFlow / Keras

10+ years writing machine learning in TensorFlow

FastAPI

ML model serving and TelegramNotifications microservice

FAISS + sentence-transformers

Semantic search for memoir pipeline and doc retrieval

IBKR API

Live automated stock trading execution

Proof Of Work

Machine Learning · ML Ops

Algorithmic Trading AI System

End-to-end automated trading platform built from hands-on TensorFlow ML code, IBKR live execution, Databento L2 order book data, and W&B experiment tracking across 19 training campaigns.

Strict separation between ML promotion and live execution
Shared contract governance across a three-repository estate
Production-minded monitoring, notifications, and testing discipline

TensorFlow W&B IBKR API FastAPI Python

See Full Proof Of Work

Generative AI · NLP

AI Memoir & Narrative Pipeline

Retrieval-grounded LLM workflow with atomic chapter patching and narrative safeguards.

LLM APIs FAISS Python

Automation · AI Orchestration

AI Desktop Agent Orchestrator

Multi-agent desktop orchestration focused on approvals, transcript quality, and operational control.

Python OpenAI Computer Use Telegram API

Professional Journey

Jan 2026 – Present

Senior Data Analyst EMEA

Medline, Stuttgart

Owning EMEA commercial analytics architecture across gross margin, pricing intelligence, forecasting, CRM analytics, and executive business review support
Building Power BI, Python, SQL, ML and controlled LLM workflows that convert fragmented commercial data into auditable, decision-ready outputs
Leading applied AI and analytics enablement — translating technical concepts into practical commercial use cases and governance models
Bridging Sales, Finance, BI, IT and Supply Chain to resolve high-impact data-quality and decision-system issues

Oct 2022 – Jan 2026

Senior Data Analyst Europe

Medline, Germany (Hybrid)

Led European forecasting, pricing, financial integrity, and decision-system improvement while reporting to the SVP Sales Europe
Corrected 10+ years of FX methodology issues and rebuilt Price / Volume / FX logic with proper interaction effects
Coordinated customer-level integration across two acquisitions, aligning regional analysts, credits, fuzzy matching, and territory measurement continuity
Built Europe's contribution to a global AI initiative through training, enablement, and governed use cases for commercial teams

2012 – 2022

Commercial Leadership & Analytics Roles

Medline, Australia & UK

Grew divisional sales from 4% to 57% growth — a complete commercial turnaround
Achieved €3M UK growth against a €300k target — outperforming all European reps combined
Built customer segmentation, forecasting, pricing, and backorder analytics tools that improved operating discipline across the commercial engine

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What's Next?

Move From Fragmented Reporting To Trusted Decisions

If forecasting, pricing, margin, CRM quality, or dashboard sprawl are slowing decision-making, start with a Commercial Analytics Diagnostic Review. From there, we can scope the right fix.

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