Doris Fonseca Lima

Innovation Lab: • Challenge: Developing a supply chain digital twin of the physical distribution network in DACH. • Worked in an interdisciplinary team of 25 people using agile methods such as Scrum. • Personal contribution: Performed data preprocessing of shipment and storage data for demand forecasting using Python.

• Performed evaluation of database technologies and developed a target architecture using MySQL • Visualised sensor data of the printing process and investigated correlations between printing parameters and printing quality. • Supported the 3D concrete printing trials and production.

• Master thesis: A GAN-based framework for data-driven control problems with application to building energy management. • Semester thesis: Extracted features from camera and sensor data for quality prediction in laser cutting machines usingmachinelearning techniques. Industry cooperation with Bystronic • Relevant Coursework: Machine Learning, Probabilistic Artificial Intelligence, Optimal Control