Expertise & Services
Machine learning, analytical systems and data-driven decision models –
precisely designed, technically robust and sustainably integrated.
Machine Learning & Analytics
I develop models for forecasting, classification and exploratory analyses –
with a strong focus on transparency, reproducibility and interpretability.
- Forecasting models (operational & financial)
- Classification & segmentation
- Pattern & anomaly detection
- Exploratory data analysis & hypothesis development
- Feature engineering & data preparation
- Model validation & stability analysis
Data & Analytical Architecture
Analytical solutions only remain reliable over time when they are cleanly
integrated into data flows, systems and business processes.
- Integration of analytical components into existing architectures
- Design of clear data models & data structures
- Interface design (ML, BI, backend)
- Harmonisation of heterogeneous data sources
- Design of data pipelines & automated workflows
- Quality, logging & transparency requirements
Business Analysis & Requirements
Many data-driven projects fail not because of technology,
but due to unclear requirements. I ensure precise definitions
and shared understanding across teams.
- Structuring complex requirements
- Definition of business models & key drivers
- Establishing shared data understanding with stakeholders
- Reducing technical & business complexity
- Translation between business, engineering & analytics
Use Cases
Forecasting
Forecasting models for operational and financial KPIs.
Data Harmonisation
Integration of heterogeneous sources for analytics, reporting and ML.
Process Analytics
Analysis of operational workflows and identification of optimisation potential.
If you are planning a project in analytics, machine learning or IT architecture,
or would like a second professional opinion, I would be happy to discuss it with you.