Özyeğin University, Çekmeköy Campus Nişantepe District, Orman Street, 34794 Çekmeköy - İSTANBUL

Phone : +90 (216) 564 90 00

Fax : +90 (216) 564 99 99

E-mail: info@ozyegin.edu.tr

3 BS Alumni

3 BS Alumni

Cem Anıl Arslan

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.

Ekrem Çetinkaya

Ekrem Çetinkaya (CS), graduated with a bachelor's degree in computer science from Özyeğin University in 2018 and completed a master's program with a thesis under the supervision of Dr. Furkan Kıraç in 2019. Between 2019 and 2023, he completed his doctoral studies on Video Encoding with Machine Learning at the University of Klagenfurt. During this period, he worked as a research assistant on the ATHENA project, which was conducted in partnership with Bitmovin. Throughout his 4-year research career, he published over 15 papers in prestigious conferences and journals and filed for 3 patents, one of which has been issued. In 2021, the article he wrote was awarded the "Best New Streaming Innovation of the Year” award. He is currently continuing his academic work in video coding and multimedia fields with Assoc. Prof. Ali C. Beğen.

Sena Artarslan

Sena Artarslan (MSc. IE) works as an analytical consultant under the Supply Chain Directorate at KoçDigital. She provides consultancy services by blending her knowledge in both machine learning and optimization to develop algorithms used in clients' supply chains and integrating them into their processes effectively.

With the contribution of the elective courses she took as a senior at Özyeğin University, she developed a simulation model to test the efficiency of being an agile team at RDC Partner as an internship. In her senior year, she contributed to the predictive quality project that predicts defects in glass production with machine learning. After completing her undergraduate studies, she pursued a master's degree in Industrial Engineering at Özyeğin University, where she also served as a research and teaching assistant. During her graduate studies, she worked as a teaching assistant in the Mathematical Modeling and Exact Methods course. Meanwhile, she conducted research on a version of the Inventory Routing Problem under the scope of TÜBİTAK 1001 and successfully completed her thesis on the same topic. She had the opportunity to present her thesis project at the POMS Conference in France.

After completing her master's degree as of September 2023, Sena continues her career journey in business life and provides consultancy to Turkey's leading companies at KoçDigital by developing solutions that optimize supply chain problems.