Philip Wolfram is a Data Scientist at Aurubis, where he applies Machine Learning and advanced analytics to industrial challenges across the copper production value chain. His work spans the full data science lifecycle, from developing predictive models and optimization approaches to implementing scalable Python-based solutions in production environments. He graduated in Quantitative Economics from Christian-Albrechts-Universität zu Kiel.