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
3 BS Alumni
Fatmanur Şahin Danış
Fatmanur (CE) graduated in 2020 as a Civil Engineer. During her Özyeğin journey, she participated in many domestic and international projects. She played a role in the establishment of the Fine Arts Club. At the same time, she was on the Board of Directors of the Construction Club for a while. When she was in second year, she participated in the Earthquake Resistant Building Design Competition organized by American Earthquake Engineering Research Institute. Being the team captain in the competition made me interested in Project Management.
She became a research assistant in three different areas of her interest. Her goal is to specialize in project management. While she was at university, she voluntarily studied Construction Cases at Kartal Anatolian Courthouse because of interest in contract management. Currently she is working as Consultant at the Department of Urban Rail Systems at the Ministry of Transport and Infrastructure. She works on the management and control of rail systems projects in our country.
Ece Nur Balık
Ece Nur Balık (IE) works as a Business and Data Analyst at KoçZer, one of the Koç Group Companies. Ece Nur completed her undergraduate and graduate studies at Özyeğin University Department of Industrial Engineering with a high honor degree. She worked voluntarily for Kahve Dünyası and Fiba Commercial Properties companies with the non-credit summer internship programs offered by our university, during her undergraduate education. She was selected for the international internship program organized by our university for successful students and had the opportunity to see business life in a different culture at Anchor Group in Romania. Ece Nur completed her internships which gave her a variety of professional perspectives, at Adel Kalemcilik and DHL Supply Chain companies on creating value and ensuring efficiency in business processes in supply chain.
Ece Nur, who studied in Finland for 4 months with the Erasmus Student Exchange Program, being one of the students representing our university in the Joost Peters Student Business Challenge held in the Netherlands the next year, developed projects with students from different cultures during her undergraduate period.
In the master's program which she started after her undergraduate education, she worked on the "Open-End Bin Packing Problem with Conflicts", a new topic in the combinatorial optimization literature and adapted various algorithms to this problem, developed a metaheuristic algorithm that would perform better than these algorithms under the leadership of her thesis advisor Prof. Dr. Ali Ekici. She presented her work at the ISCO2022 (International Symposium on Combinatorial Optimization) conference.
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.