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

Ecem Yücesoy

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.

Osman Furkan Kınlı

Osman Furkan Kınlı (CS 2018),obtained his master's degree in Computer Science the following year. Within the scope of his master's thesis, he worked on similar image retrieval using Capsule Networks. He is currently continuing his doctoral thesis work. His research areas cover image processing, computer vision, image manipulation and restoration, illuminance and colors, and computational photography. He has achieved awards in international competitions related to night photography rendering in consecutive years. He has received the best reproducibility report and the best reviewer awards in international challenges on the reproducibility of academic research in Computer Science. In addition to his doctoral studies, he has also worked as a teaching assistant in undergraduate courses and as a research assistant in different research projects for his department. Furthermore, as venturing into the entrepreneurial journey in early 2020, he founded a Canadian-based company called T-Fashion, which provides services in AI-driven fashion trend analysis and generative fashion design.

Gözde Avşer

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.