Data Analyst based in the Netherlands, working with Python, SQL, Tableau, machine learning, and Streamlit. I turn messy operational data into clear metrics, reproducible analyses, and decision-ready dashboards.
| Project | What it demonstrates |
|---|---|
| Smart Power — Live app · Tableau · Code | End-to-end energy analytics: API ingestion, SQL, 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 reproducibility, honest metric definitions, and communicating what the data can—and cannot—support.