professional summary:

• As a physicist and data scientist with over 20 years of experience, I specialize in the analysis and modeling of complex systems. My academic foundation in statistical physics and nonlinear dynamics forms the basis for deep analytical work across industries. Combining scientific curiosity with practical implementation, I support organizations in making sense of dynamic systems and in designing intelligent, adaptive solutions.

core expertise:

• Complex Systems Analysis
• Exploratory Simulation
• Conceptual Modeling
• Custom Prototyping
• Dynamic Modeling
• Statistical Inference
• Machine Learning
• Scientific Computing

professional development:

Agile & Digital Strategy:

• Agile Project Management
• Agile Leadership
• Digital Business Modeling
• Digital Business Management
• Data Science Concepts for Executives

Business & Leadership:

• Project Management
• Change Management
• Servant Leadership
• Leadership for Professionals
• Communication & Conflict Management

methods:

• Scrum, DevOps, PRINCE2
• Python, NumPy, SciPy, pandas, scikit-learn
• R, SQL, Docker, Git, Linux, bash, perl, C

professional experience:

2018 - today:

Role: Senior Data Scientist & Strategic Consultant

Customer: self-employed, Berlin

Tasks:

• Project-based work for clients such as DAIN Studios, ZF Friedrichshafen, Daimler TSS, P3 Digital Services, QUNIS and others.
• Development of simulation tools and predictive models for technical and business systems in cloud environments
• Development of ML prototypes for predictive maintenance, demand forecasting, and system optimization in automotive and digital industries

2016 - 2018:

Role: Probabilistic Design Engineer

Customer: Siemens Energy (via Brunel), Mülheim

Tasks:

• Probabilistic design and statistical analysis in large gas turbine engineering
• System modeling of dynamic forces and component failure risk modeling

2010 - 2016:

Role: Strategic Modeling & Systems Thinking

Customer: Independent Research, Berlin

Tasks:

• Scenario design, decentralized systems modeling (shop floor systems, governance protocols, decentralized infrastructure)
• Agent-based simulation and systems-level conceptual analysis.
• Exploratory prototyping and conceptual model development.
• Integration of research-driven thinking into applied industrial innovation processes

2004 - 2010:

Role: Simulation & Modeling

Customer: Physical Technologies, Stuttgart

Tasks:

• Development of discrete-event models and design of control strategies for logistics flows in cross-functional contexts
• Simulation, systems analysis and system optimization of automated production environments and robotic control systems

2000 - 2004:

Role: Research Associate

Customer: University of Stuttgart, Stuttgart

Tasks:

• Application of nonlinear dynamics in production and logistics.
• Optimization of complex automated manufacturing systems in the automotive industry