3 BS Alumni

Ece (ME), works as a Senior Specialist Engineer in the Truck R&D department of Mercedes Benz Turk A.S. company. As part of her job description, she contributes to the development of electric heavy/medium truck concepts. Gaining experience in the application areas of engineering during her internships, Ece received training in automotive design in 2015 and completed 2 separate design projects during this time. Afterwards, she studied at Pforzheim University as an exchange student with an Erasmus+ scholarship. Between May-October 2017, she worked as a TÜBITAK scholar in the project titled "Dynamics of Drops That Hit Moving Surfaces and Its Use in Surface Coating and Spray Technologies".

In her undergraduate thesis, she worked on the optimization of the anti-roll bar of Mercedes heavy class construction site trucks. With this work she did with her teammate, they won the third prize in the 7th automotive R&D project market and component design competition in 2018. Within the scope of the same project, they also transferred their work to an academic article and this study was published in the International Mechanical Engineering Congress & Exposition (IMECE), one of the largest mechanical engineering conferences in the world.

After her graduation, she started to work for TUSAŞ Motor Sanayii A.Ş. as a Structural Analysis Engineer. Between the years 2018-2022, she worked in the TEI-TS1400 Turboshaft Engine Development Project, which is Turkey's first type certificated original and national engine. She returned to the automotive sector as of April 2022 and still continues her work at Mercedes Benz Türk A.Ş.

Ecem (IE) earned her undergraduate degree in Industrial Engineering with a minor in Computer Science at Özyeğin University. Throughout her undergraduate studies, she served as a teaching assistant in various courses, enhancing her academic knowledge, and took on roles in numerous events. She also gained business experience through internships at companies such as Marks&Spencer, Credit Europe Bank Romania, Bosch, and Kariyer.net. She participated in innovative idea development workshops held in Turkey and the Netherlands.

Ecem also completed her master's degree at Özyeğin University, where she made significant contributions to international and interdisciplinary research projects. She had the opportunity to present her research at international conferences and took part in organizing committees. She continued her role as a teaching assistant in various courses. Due to her outstanding performance, she was awarded the Best Teaching Assistant in 2022 and the Outstanding Research Assistant in 2023. Additionally, her undergraduate and graduate studies were supported by scholarships from the Istanbul Chamber of Industry Foundation and TÜBİTAK BIDEB.

Ecem is currently pursuing her PhD in Technology and Operations Management at INSEAD, one of the world's top business schools. She is focusing on areas such as humanitarian logistics, sustainable operations, and healthcare systems, expanding her interests and continuing her research in these fields.

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.