Analytical Quality Assurance

  • Context: Multi-project environment with heterogeneous data sources.
  • Approach: ETL pipelines, large-scale data analysis, graph visualisation (Neo4j).
  • Result: Transparent data quality and reproducible analytical processes.

Financial Analysis & ML Framework

  • Context: Time-series analysis for investment decision support.
  • Approach: Feature engineering, model comparison, dashboard development.
  • Result: Scalable pipeline for data-driven decision support.

Compliance Documentation Framework

  • Context: Need for automated and traceable procedural documentation.
  • Approach: Model-based generator using BPMN templates.
  • Result: Standardised, reusable documentation components.

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 your requirements.

Get in touch