Data analysis with MATLAB
Importing, cleaning, analysing and visualising technical data so patterns, deviations and results are traceable.
Technical consulting
Freelance support for technical and interdisciplinary work – analytical, structured and focused on practical implementation.
Project support
Making technical topics understandable and actionable
As an industrial engineer and master's student in Systems Engineering Mechatronics, I approach assignments from both technical and business perspectives. Practical experience in industrial machine vision with Python at ZEISS in Jena and my current work with knowledge graphs at ZEISS SMT add to this perspective.
I work systematically into new technical fields, present results transparently and help turn data and complex engineering relationships into concrete next steps.
Possible areas of support
Industrial machine vision with Python
Structuring image-data processing, developing analysis workflows and presenting results for technical questions.
Knowledge graphs
Modelling technical concepts, decisions and dependencies as connected knowledge so relationships become findable and machine-readable.
Modelling and simulation
Support for model-based tasks with MATLAB and Simulink and for structured assessment of technical relationships.
Technical documentation
Structuring results, processes and project status clearly for different audiences.
Interdisciplinary project work
Bringing together technical, business and organisational requirements and supporting communication between disciplines.
How a collaboration starts
- Clarify the task: You describe the goal, constraints, available data and desired timeframe.
- Agree the approach: We define the required support and a transparent result.
- Deliver the project: Work proceeds in a structured way with regular coordination.
The quickest way to determine whether my experience fits your task is a specific enquiry.