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

Mert Dedeköy

Mert (EE) is working in Eatron Technologies as a software engineer. He graduated in Electrical and Electronics Engineering at Özyeğin University as the valedictorian of his class. He had an interest to computer programming and thus, he had a minor degree in Computer Sciences. He got an international management class in University of East Anglia, UK. He also studied as an exchange student in Oregon State University, USA for one semestre. He became a part of an academic research article and he had a chance to present it in a conference.

After graduation he started to study master degree in Computer Sciences in Boğaziçi University to specialize in machine learning. At the same time he’s working as a full-time software engineer. Mert had an experience as a web application developer as front-end and cloud systems. He is planning to be a cofounder of an international software company.

Naz Levent

Naz (CS) worked in Microsoft as a trainee when she was a sophomore. During this tenure, she regularly contributed to young children in teaching computer programming and promotional activities. During her internship at Vodafone, she worked in Data Science R&D and Business Intelligence IT departments. She got 3 patents and she had the opportunity to be the "first author" in all these patents. In her last year, she was elected to represent Özyeğin University's Faculty of Engineering in the Müdek accreditation committee.

After graduating from Özyeğin University, she did her Master's in Artificial Intelligence at the University of Leuven in Belgium. She completed this advanced master's program as an honor student in 1 year. She worked as a data scientist at Amazon Netherlands for 4 years. In this process, she provided consultancy to many companies in the Fortune 400 list in the field of artificial intelligence. She took part in the project that added artificial intelligence to the races of Formula 1. Finally, she started to work in Google, Netherlands. She is currently working at Google as a Machine Learning Specialist Engineer.

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.