3 BS Alumni

Seyma Gürel graduated with honors from the Department of Civil Engineering in Özyeğin University in 2018. Seyma dedicated herself to her research career that began during her undergraduate studies with Dr. Zeynep Başaran Bundur. At Özyeğin University, Seyma worked as a research assistant and received a TÜBİTAK scholarship while still an undergraduate, contributing to projects focused on self-healing concrete and the improvement of concrete rheology using bacteria.After completing her undergraduate studies, Seyma decided to further pursue her interest in construction materials by enrolling in a Master's program in materials engineering. She was accepted into the Mechanical Engineering master's program at Koç University, where she continued her research on high-entropy alloys.

Upon completing her master's degree, Seyma proceeded to pursue a Ph.D. at ETH Zurich's Department of Civil Engineering, continuing her academic career. Currently, she is conducting research on digital concrete production at ETH Zurich. Throughout her educational journey, Seyma actively participated in various student clubs. Alongside other founding friends at Özyeğin University, she established a volunteer club, leading various aid projects and providing support to sister schools.

Ayşan (ME) completed her undergraduate degree in Mechanical Engineering. Shortly after her graduation, she started the Mechanical Engineering Master's Program at Özyeğin University. During her master program, she conducted researches in the field of medical robotics. In 2018, she had the opportunity to present some of her studies at the international platform Biorob (International Conference on Biomedical Robotics and Biomechatronics).

Ayşan, who has been working as a product development, design and release engineer at Ford Otosan, which operates in the automotive sector, since 2019, has worked with many teams and companies from Turkey and abroad in their projects in Europe, England, Africa, due to Ford Otosan's global structure. Ayşan manages processes such as designing and commissioning in accordance with the requirements of many different locations such as the Far East. She is contributing to many vehicle models within Ford, with various functionality, innovative ideas, and products of different designs, materials and strengths. In addition to all these engineering competencies, Ayşan maintains the role of Kanban Master and she facilitates the adaptation of her teammates to the agile structure.

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.