3 BS Alumni

Berk Buzcu (CS), graduated with a Bachelor of Science in Computer Science from Özyeğin University in 2020. During his undergraduate years, he had his internship at KoçSistem, where he served as a System Engineer Intern. During his senior year, he worked as a Cloud Consultant in a start-up venture, focusing on cloud systems architecture and also delving into automated negotiation, even participating in the ANAC 2020 competition.

Subsequently, Berk pursued further academic pursuits, enrolling as a Master's Student at Özyeğin University. During this academic journey, he actively contributed to the CHIST-ERA project, "EXPECTATION: Personalized Explainable AI for decentralized agents with heterogeneous knowledge," funded by Tübitak. Within this project, his primary research focus was on the application of explainability techniques in recommender systems, which aligned perfectly with his research interests. The overarching goal was to enhance the effectiveness of recommender systems in helping users achieve their objectives while fostering sociability.

In addition to his thesis research, Berk took on the development of a human-robot negotiation environment and explored other multi-agent-related topics involving Blockchain and drone cooperation. His dedication and contributions led to the publication of five papers during his master's program. Currently, Berk has started working as a Research Assistant at HES-SO, Switzerland on the "Smart-Edge" project where he is working on a healthcare use case for edge computing.

Cem Ata Baykara (CS) completed his first internship in Big Data at Türkiye İş Bankası. During his second internship at Fibabanka, he worked in the R&D department focusing on Internet of Things (IoT) security. After completing his Bachelor's degree, he started his master's degree in Network Security in 2020. Throughout his master's studies, he worked as a researcher in a TÜBİTAK project, alongside his advisors Dr. Kübra Kalkan and Dr. Ilgın Şafak (from Fibabank). During his master's program, his research primarily focused on IoT security and Blockchain.
Currently, he is working as a doctoral research assistant at Tübingen University in Germany, focusing on privacy-preserving machine learning. He is also working as a researcher on federated machine learning in the PrivateAIM (Privacy-Preserving Analytics in Medicine) project, developed for Germany's Medical Informatics Initiative.

Cem Anıl Arslan (IE) is a Data Science Expert at McKinsey & Company management consulting firm. In his role, he is managing analytics studies in the energy sector. He combines his analytical expertise in machine learning and optimization techniques with energy sector knowledge to increase the profitability of the plants while also reducing their environmental carbon footprint. 

Cem holds bachelors from Ozyegin University with a major in Industrial Engineering and a minor in Computer Science. He graduated from Ozyegin University in 2017 as the valedictorian of his class. Following 2 years of experience in the industry, he persuaded a Master's in Artificial Intelligence from KU Leuven from which he graduated with a magna cum laude degree.

Cem joined the Management Consulting firm McKinsey & Company as a data scientist in 2017. Since then, his focus was in energy sector projects in different countries including Turkey, Thailand, Malaysia and Azerbaijan. Currently, he is the most firm-tenured Data Scientist in the Istanbul Office.

In his projects in the energy sector, Cem uses different machine learning techniques to model complex chemical reactions and utilizes various optimization algorithms to increase profitability via dynamically optimizing process parameters. In a typical study, 3+ years of data from 2000+ different sensors are utilized to understand these complex relationships. As a consultant, Cem's responsibilities also involve developing the right software infrastructure that will enable deployment of the analytical models, design and development of dynamic dashboards to show the results to plant engineers and operators and ensuring the adoption of new tools that come with digital transformation to ensure that analytical solutions generate real impact.

Projects in which Cem was involved enabled analytical-driven profitability increase between 2-7% and reduced the carbon footprint of the plants enabling more efficient operations with reduced energy and feedstock consumption. 2 of the analytical projects in which Cem was lead data scientist was selected as digital lighthouse projects (across the globe) by the World Economy Forum.