Bora Deren

Data Analytics & Process Mining Intern at BMW Group in Munich.

Bachelor Thesis at RWTH Aachen University. Bachelor's thesis at the PADS group, RWTH Aachen, supervised by Alessandro Berti and Wil van der Aalst. A state-based pipeline for detecting concept drift in business processes. Adapts a state-detection pipeline (Berti et al., 2025) from object-centric to classical case-based event logs. Three views: intra-case, resource, and inter-case states. Each passed through windowing → PCA → Clustering.

Reversi AI Developer at RWTH Aachen University. Project internship at the Software Modeling and Verification Group (MOVES), Chair i2. Developed an AI for a complex extension of Reversi using Java and techniques such as Minimax, alpha-beta pruning, move sorting, aspiration windows, and game state rating heuristics.

Embedded Developer at RWTH Aachen University. Lab course at the Chair of Embedded Software (i11). Developed the SPOS operating system in C for the ATmega 644 microcontroller, implementing hardware drivers, memory management, schedulers, and I/O components.

Computer Science Mentor at RWTH Aachen University. Worked as a (HiWi) computer science mentor, providing guidance and support to fellow students in their computer science studies. Helped students organize their studies and understand complex concepts through weekly mentoring sessions and group study activities.

Bachelor's Degree in Computer Science at RWTH Aachen University. Strong interest in process mining, data science, machine learning, and deep learning. My focus lies in understanding modern architectures such as transformers and attention mechanisms, as well as classical methods and graph-based machine learning, and their connections and applications in process mining and data science.