Branimir Raguz

Introduction to Semantic Systems (WS 2023/2024, WS 2024/2025); Advanced Informational Retrieval (SS 2024).

Led an end-to-end LSTM pipeline project for financial risk management: built raw market-data ingestion and cleaning pipelines, engineered time-series features, ran hyperparameter tuning, and deployed live trading-signal delivery on AWS, achieving consistent outperformance versus the client’s benchmark. Automated multiple end-to-end ML projects on AWS from scratch enabling real-time trading signals and cutting manual processes by ~90%.

Built automated data-quality pipelines (SQL & Python) to profile customer scorecards and relational profiles, detecting anomalies and logging data issues for correction by the governance team.