Data Science & AI Consultant

Less complexity.
More intelligence.

I’m Dr. Martin Franke, an independent data science and AI consultant. With 15 years in machine learning and AI transformation, I design production-grade systems that turn complex data into faster, safer decisions.

Project cost efficiencyExample
Total project resource cost€5,400−64% employees + systems
Employees · 35 h€4,200
System resources€1,200
Automation 85%Lean 90%
€9,600project saving
Employee resourcesSystem resourcesExample scenario
15 years’ experiencePhD-trained thinkingProduction-grade deliveryTeam leadership

Core capabilities

Senior expertise across the AI lifecycle.

  • 01AI strategy
  • 02Machine learning
  • 03Data engineering
  • 04LLM systems
  • 05MLOps
  • 06Model governance

What I do

From difficult data
to simple decisions.

I work across strategy, engineering, machine learning and governance—one accountable partner from first question to reliable production system. I help mid-sized companies, scale-ups and in-house data teams that have valuable data but no clear path to using it: turning scattered sources into a dependable data platform, bringing a first machine-learning or LLM use case into production, or putting an existing system under proper governance. All work runs remotely across Germany, the DACH region and Europe, in German or English. It starts with a free initial call of about 30 minutes, followed by a short assessment and a clearly scoped first step your team can own.

Operational load−64%after automation(Illustrative example)
Useful output↑

The lean principle

The best system is the smallest one that solves the problem.

More infrastructure does not automatically mean more capability. I begin with the decision you need to improve, then work backwards—automating the repeatable, measuring the useful and removing everything else.

  • 01 Prove value before adding scale
  • 02 Automate operations, not accountability
  • 03 Build for your team to own
How I work

Selected work

Experience, applied.

Automotive project
AutomotiveCase 01

Automotive AI, from BUS data to decisions

Led the strategy and delivery of production ML systems for driver behavior, safety analytics, AD/ADAS, homologation and issue resolution. Unified CAN, LIN and FlexRay data on Azure Databricks and introduced an LLM-powered analytics layer for natural-language dataset discovery and PySpark generation.

Healthcare project
HealthcareCase 02

Personalised coaching for better wellbeing

Developed a machine-learning platform that combined biometric and behavioral data to recommend stress-reduction actions. Research from my doctoral work informed predictive health-risk scoring and lifestyle-pattern detection.

Have a data problem?

Let’s make it
simpler.