Simon Passenheim

Simon Passenheim currently serves as the Data Science Manager at kloeckner.i GmbH, where he leverages his extensive expertise to drive innovative solutions in the steel and metals trading industry. In this leadership role, Simon oversees a diverse portfolio of data-driven projects, focusing on enhancing operational efficiency, sustainability, and customer experience through advanced machine learning and AI techniques. His team is instrumental in developing semantic similarity search algorithms utilizing Sentence-BERT, enabling precise matching of customer product descriptions with internal designations—significantly improving inventory management and sales processes.

A key project under Simon’s guidance involves sophisticated information extraction from unstructured data sources such as PDFs and emails, employing Graph Neural Networks and Transformer models. These efforts streamline data integration workflows, reduce manual effort, and improve data accuracy across the organization. Additionally, Simon has been pivotal in developing a Product Carbon Footprint calculator, aligning kloeckner.i’s operations with its sustainability initiatives and regulatory compliance requirements, particularly in the context of evolving regulatorische Vorgaben.

With a strong foundation in statistical analysis, quantitative finance, and cloud technologies, Simon excels in translating complex data insights into strategic business decisions. His proficiency in Python, PyTorch, and Generative AI enables him to lead cutting-edge projects that harness the power of deep learning and quantum computing. Moreover, Simon’s expertise in data warehousing and stakeholder communication ensures that technical solutions are aligned with business objectives, fostering a data-driven culture within the organization. Through his leadership, kloeckner.i continues to innovate at the intersection of data science and industry-specific challenges, positioning itself as a forward-thinking leader in digital transformation.