Projects

Built a scalable data and risk setup for DACH expansion, from external company data integration and country-specific credit risk scorecards to stable production operations.

Designed and implemented a customer-facing REST API that exposes integrated external data sources in real time, with GDPR-compliant access control and request logging, extending the product portfolio and enabling new revenue streams.

Group data science project classifying heartbeats from ECG signals using classical ML baselines and optimized deep learning architectures.

Containerized MLOps system for predicting road accidents – from data ingestion and feature engineering to production-grade REST API serving and an interactive Streamlit frontend.

Python-based scraping and monitoring tool for electricity and gas tariffs from multiple German energy providers, with both CLI and Streamlit UI for fast checks.

Automated drift detection and alerting for production credit scorecards, ensuring model stability, compliance, and consistent scoring quality.

Production-grade web platform for real-time credit score simulation and explainability, enabling transparent risk decisions and trust in ML-driven assessments.

Automated data quality monitoring with real-time dashboards, reducing incidents and giving stakeholders a single, trusted view of data health.

Mission-critical automated data export pipelines for enterprise customers, reducing manual effort and enabling scalable onboarding.