Agustin Iniguez is a data scientist with a background in physics. For the past few years, he has been working at Rabobank, bridging the gap between engineering and data science. He specializes in model monitoring and performance optimization, with a strong background in statistical analysis and data visualization. Currently, he focuses on integrating advanced analytics into deployment pipelines to ensure robust model performance.
In the dynamic financial sector, ensuring the continuous accuracy and reliability of machine learning models is essential for effective risk management and operational efficiency. With the introduction of regulatory frameworks like the EU Artificial Intelligence Act, the need to monitor and uphold model performance to meet strict compliance standards has become even more pressing. As […]