Mathematician with a focus on data analysis.
I work on problems such as fraud detection, risk analysis, statistical bias,
and feature-driven explanations. My work emphasizes interpretability,
statistical rigor, and predictive modeling.
I build machine learning models not only to predict outcomes, but to understand the drivers behind the data and their real-world impact.
- Class imbalance analysis
- Feature importance & SHAP interpretation
- Predictive modeling (Random Forest, AUC, ROC)
🔗 https://github.com/bastianb-analytics/fraud-detection-ml
Statistical analysis of competitive matches and player performance.
🔗 https://github.com/bastianb-analytics/Valorant-Analysis-Matchs
Seeking a Junior / Entry-Level Data Analyst role.