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
Taha Doğan Güneş
Taha (CS), had participated various projects during his studies in Özyeğin University. He was a member of an agent, which had 1st rank in Automated Negotiating Agents Competition (ANAC). He had his PhD program in Southampton University in artificial intelligence and trust understanding of data with full scholarship.
He is working under the project, TUnDRA: Trust Understanding of Data and Reasoning Algorithms, which is funded by UK's National Cyber Security Centre (NCSC), covers topics around robust and discrete optimization techniques. He also worked on CyPrIAAn: Cyber Predictive Intelligence for Asset-based Analytics, which allow cyber analysts to predict both future attacks and the next steps of evolving cyber-attacks under UK Defence and Security Accelerator (DASA) funding. After his PhD, he kept working in these projects and he had the chance to present his works in the international conferences.
In 2022, Taha started wo work in an international investment bank, Goldman Sachs as a data engineer. He is working to increase the efficiency of the customers using artificial intelligence techniques in manufacturing and industrial areas with a UK based start up
Farzad Avishan
Farzad completed his doctoral studies in Industrial Engineering at Özyeğin University, where he achieved academic success and actively participated in various research projects. His research thesis focused on optimization under uncertainty and was accompanied by simultaneous involvement in multiple research endeavors. He successfully defended his thesis in February 2023 and was distinguished as the outstanding researcher at the engineering faculty of Özyeğin University during the final year of his Ph.D. studies. He also collaborated with scholars from Binghamton University to solve the electric bus scheduling challenge of the university's shuttle network. Additionally, Farzad served as a teaching assistant for various courses, particularly for heuristic algorithms for optimization courses.
Currently, Farzad continues his post-doctoral studies at HEC Montréal, where he concentrates on tackling inventory routing and distribution problems for Hydro Quebec, Canada's largest power utility and a significant global hydropower provider. Simultaneously, he remains committed to advancing projects in transportation optimization and optimization under uncertainty, particularly emphasizing public transportation. Farzad actively engages as a member of esteemed research institutes in the logistics field, including Cirrelt and GERAD.
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.