Victoria Sicking

Victoria Sicking is a highly skilled professional with a strong background in Electrical Engineering, holding a Bachelor's and Master's degree from RWTH Aachen University, where Victoria graduated with distinction. Experience includes roles as a Student Assistant at the Laboratory for Machine Tools and Production Engineering and the Fraunhofer Institute for Applied Information Technology FIT, focusing on tutoring and development of optimization tools. Subsequent positions involved an internship at Daimler AG in strategic project management for electric vehicles, followed by a role as a Data Science Intern at QuantumBlack, where work concentrated on fairness in artificial intelligence and natural language processing. Currently serving as a Consultant at McKinsey & Company and as a Solutions Engineer at Databricks, Victoria is adept at applying advanced machine learning models across various industries, contributing to innovative projects in space, telecommunications, materials, automotive, and biotechnology.