3 BS Alumni

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.

Birce received her bachelor’s degree from the Department of Industrial Engineering at Ozyegin University. During her undergraduate education, she developed an interest in supply chain management and acquired skills in the field through relevant coursework. She participated in Unilever’s Supply Chain Reaction Project in her senior year, gaining valuable experience that allowed her to bridge the gap between theory and practice. She also took on roles in extracurricular activities throughout bachelor’s, such as serving as a peer advisor in OZU Peer Advisor Program and being a member of student clubs.

She pursued her education by commencing a master’s program within the same department, where she focused her research on humanitarian logistics and disaster management with the motivation of making contributions to society. She enhanced her proficiency in applying advanced analytical methods and Operations Research techniques to support decision-making in the related fields. Additionally, she served as a teaching assistant during her master’s studies, which further honed her academic and professional skills.

She is currently in her third year as a Ph.D. student at HEC Montréal, specializing in the Department of Logistics and Operations Management. Her doctoral thesis focuses on humanitarian supply chain network design and management. She has received prestigious awards and scholarships in recognition of her academic achievements during her doctoral studies, including Merit Scholarship Program for Foreign Students (PBEEE), Foundation J. Armand Bombardier Scholarship, and CIRRELT Doctoral Excellence Scholarship.

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.