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
Onurhan Turfanda
Onurhan Turfanda(CS 2020) earned his bachelor's degree in Computer Science from Özyeğin University. During his university years, he gained valuable experience as a teaching assistant under the guidance of Professor Jason Lau in the business department. This role allowed him to develop his teamwork and support skills. Simultaneously, he was an active member of the OzU Rover Team, which gave him the opportunity to delve into robotics and represent our country on the international stage by participating in the European Space Agency's Rover competition.
Following his university years, Onurhan embarked on his professional journey. He began by working on AI-based cash flow management at Yapı Kredi Technology. Later, he joined Amazon.com in Spain, contributing to EU-InTech. Currently, he is a member of the TomTom Spain team, working on the "Map of the Future" project. In this role, he is focused on creating real-time maps and revolutionizing map technologies and location-based services.
Berk Buzcu
Berk Buzcu (CS), graduated with a Bachelor of Science in Computer Science from Özyeğin University in 2020. During his undergraduate years, he had his internship at KoçSistem, where he served as a System Engineer Intern. During his senior year, he worked as a Cloud Consultant in a start-up venture, focusing on cloud systems architecture and also delving into automated negotiation, even participating in the ANAC 2020 competition.
Subsequently, Berk pursued further academic pursuits, enrolling as a Master's Student at Özyeğin University. During this academic journey, he actively contributed to the CHIST-ERA project, "EXPECTATION: Personalized Explainable AI for decentralized agents with heterogeneous knowledge," funded by Tübitak. Within this project, his primary research focus was on the application of explainability techniques in recommender systems, which aligned perfectly with his research interests. The overarching goal was to enhance the effectiveness of recommender systems in helping users achieve their objectives while fostering sociability.
In addition to his thesis research, Berk took on the development of a human-robot negotiation environment and explored other multi-agent-related topics involving Blockchain and drone cooperation. His dedication and contributions led to the publication of five papers during his master's program. Currently, Berk has started working as a Research Assistant at HES-SO, Switzerland on the "Smart-Edge" project where he is working on a healthcare use case for edge computing.
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.