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.

Ece Nur Balık (IE) works as a Business and Data Analyst at KoçZer, one of the Koç Group Companies. Ece Nur completed her undergraduate and graduate studies at Özyeğin University Department of Industrial Engineering with a high honor degree. She worked voluntarily for Kahve Dünyası and Fiba Commercial Properties companies with the non-credit summer internship programs offered by our university, during her undergraduate education. She was selected for the international internship program organized by our university for successful students and had the opportunity to see business life in a different culture at Anchor Group in Romania. Ece Nur completed her internships which gave her a variety of professional perspectives, at Adel Kalemcilik and DHL Supply Chain companies on creating value and ensuring efficiency in business processes in supply chain.

Ece Nur, who studied in Finland for 4 months with the Erasmus Student Exchange Program, being one of the students representing our university in the Joost Peters Student Business Challenge held in the Netherlands the next year, developed projects with students from different cultures during her undergraduate period.

In the master's program which she started after her undergraduate education, she worked on the "Open-End Bin Packing Problem with Conflicts", a new topic in the combinatorial optimization literature and adapted various algorithms to this problem, developed a metaheuristic algorithm that would perform better than these algorithms under the leadership of her thesis advisor Prof. Dr. Ali Ekici. She presented her work at the ISCO2022 (International Symposium on Combinatorial Optimization) conference.

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.