Skills
Commercial analytics
Strategic Analysis
- SQL-driven business, behavioral, and transaction analytics
- Scenario modelling, KPI design, performance cadences, and process improvement
- Dashboarding and decision support for senior business, compliance, and delivery stakeholders
Applied AI
Data Science & AI Engineering
- Financial crime machine learning, AML analytics, NLP, computer vision, and statistical modeling
- Python, SQL, PySpark, PyTorch, TensorFlow, Keras, scikit-learn, and Plotly
- Feature engineering, model evaluation, validation, monitoring, and production-aware ML
Modern AI
GenAI & Responsible AI
- GenAI prototyping, LLMs, prompt engineering, and AI productivity tools
- Microsoft Responsible AI tooling, explainability, governance, and EU AI Act-aware delivery
- MLOps pipelines and stakeholder-facing AI adoption guidance
Cloud delivery
Data Platforms & Engineering
- Microsoft Azure, Azure Machine Learning, Azure Databricks, SQL Server, and Dataiku
- Azure Data Factory, Synapse Analytics, Data Lake, Python-based ETL, and data pipelines
- Azure DevOps, Git, Docker, Kubernetes, and Microsoft Purview
Reporting
Dashboards & Visualization
- Power BI, Tableau, Plotly, and reporting automation
- Qlik-to-Power BI migration support and performance reporting cadences
- CRM analytics, experimentation, A/B testing, and business stakeholder enablement
Credentials
Certifications & Languages
- Azure Data Engineer Associate, Azure Data Scientist Associate, Azure AI Engineer Associate
- Power BI Data Analyst Associate and Azure Fundamentals
- Dutch native, English fluent, Mandarin Chinese intermediate, German basic
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