3 BS Alumni

Gözde (IE) is a Data Scientist at Rabobank, which is one of the largest banks in the Netherlands, operating in 38 countries around the world. She works on projects to generate AI solutions to better serve the corporate and the private clients while increasing profitability of the bank.

When she was a junior at Ozyegin University, she had an internship focused on branch workforce optimization in San Diego, California where she had the opportunity to apply her academic knowledge to real case. In her senior year, she continued taking selective courses in the field of data science and graduated from Ozyegin University in 2015 as the valedictorian of her class.

After spending two years as a data scientist in finance sector, she pursued a master's degree in Business Analytics and Operations Research from Tilburg University. She then joined Nielsen, where she improved the marketing budget optimization software and implemented it for various firms in countries such as Brazil, Japan, Canada. Since 2020, she have been working at Rabobank on projects such as identifying the best next product for corporate clients or predicting customer churn, where she employs various machine learning algorithms.

In addition to developing the models, she ensures their implementation in a scalable manner to be used in business decisions. Alongside her projects, she supports other data scientists who would like to improve their coding skills by preparing training sessions and workshops.

Yıldıray Yılmaz (CE), received his bachelor’s degree at Özyeğin University with a high-honor certificate in the civil engineering department. He is awarded as being the highest ranked student among 2020 graduation class. During his undergraduate studies, he founded Özyeğin University’s Construction Club and ran as president for two years. The construction club has reached more than 200 members during his presidency and organized more than 20 different events.

His original research paper was published with the great help of Dr. Seyis at ‘Building and Environment’ journal under the title of ‘Mapping the scientific research of the life cycle assessment in the construction industry: A scientometric analysis’.

Parallel with his master studies, he joined Metsims Sustainability Consulting company in October 2021. For over a year, he works as a sustainability consultant. His primary task is to analyze and model the environmental burdens of construction products and building from life cycle perspective. So far, he has modelled and assessed the environmental impacts of 20+ different construction products and one residential and one factory building. Besides environmental performance modelling, he currently works on improving one of the biggest life cycle assessment database for construction products in the world.

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.