Data & Analytics professional based in the Netherlands. I turn raw and operational data into reliable analyses, clear visualizations, and practical data products using Python, SQL, Tableau, machine learning, and Streamlit.
I'm particularly interested in energy and sustainability applications, while remaining open to data opportunities across sectors.
| Project | What it demonstrates |
|---|---|
| Smart Power — Live app · Tableau · Code | End-to-end Netherlands energy analytics across 4 APIs and 1,170 hourly records: UTC-aligned ETL, MySQL, EDA, machine learning, Tableau, and Streamlit |
| Vanguard A/B Test | Experiment design, completion metrics, statistical testing, and business-threshold evaluation |
| Credit Card Fraud Detection | Imbalanced classification with a locked final test set, SMOTE, model comparison, and responsible-use limits |
| Marketing Campaign Performance | Weighted funnel metrics, ROAS/CPA analysis, reproducible reporting, and careful non-causal interpretation |
| Global Shark Incident Analysis | Data cleaning, regex-based standardization, EDA, and explicit exposure/reporting limitations |
Python · pandas · NumPy · scikit-learn · SQL · MySQL · Tableau · Streamlit · Git/GitHub
I care about reproducible workflows, honest metric definitions, and communicating clearly what the data can—and cannot—support.