Selected work

Proof lives in working systems.

Roles I have held—as an employee, CTO and technical lead—where data science moved from technical possibility to practical value. These were positions inside the organisations named, not consulting engagements for them as clients.

01
Automotive data science work

Automotive · 2019–2026

Lead AI Strategist & Lead Data Scientist
CARIAD SE · Cognizant Mobility GmbH

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.

OutcomeIn this automotive analytics work at CARIAD and Cognizant Mobility (2019–2026), complex engineering analyses went from hours to minutes. The platform for Audi, Porsche and Volkswagen was selected over three internal alternatives for code quality, reliability and delivery speed, with governance aligned to GDPR and NIST SP 800-53.

Azure DatabricksPySparkFeature storeMLOps
02
Healthcare data science work

Healthcare · 2018–2019

Chief Technology Officer
BODYVISER GmbH

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.

OutcomeBuilt secure, production-grade Airflow and PostgreSQL pipelines and led technical delivery through the company’s acquisition.

Kerasscikit-learnAirflowPostgreSQLHealth data
03
Digital Publishing data science work

Digital Publishing · 2017–2018

Data Scientist
Social Media Interactive · Social Sweethearts

Content performance, predicted

Built retention and churn models from audience, Google Analytics and CRM data, then unified newsletter, shop and analytics sources through production ETL workflows.

OutcomeAt Social Media Interactive · Social Sweethearts (2017–2018), improved marketing return on investment by 28% through more effective targeting and retention decisions.

PythonSparkSQLLookerMatillionChurn prediction
04
Enterprise Search & Media data science work

Enterprise Search & Media · 2015–2017

Data Scientist
IntraFind Software AG · inovex GmbH

Search relevance and a modern data foundation

Improved enterprise search relevance with supervised ranking models and helped migrate ProSiebenSat.1 Media’s analytical warehouse to Apache Spark with a unified KPI reporting layer.

OutcomeCreated scalable foundations for faster search and more consistent, decision-ready reporting.

Learning to rankApache SparkData migrationKPI reporting

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