3 BS Alumni

Mert Kavala graduated from Kabataş Erkek Lisesi and started his undergraduate studies in the Civil Engineering program at Özyeğin University with a full scholarship. Throughout his four years at the Özyeğin University, he had the opportunity to enhance both socially and academically. He served on the executive board for 3.5 years and was president of the OzU Construction Club in 2021. In his undergraduate studies, Mert served as an undergraduate teaching assistant for Static and Construction Management courses.

Additionally, he took on the role of undergraduate research assistant in the field of self-healing concrete materials at Assoc. Prof. Zeynep Başaran Bundur’s Advanced Concrete Materials laboratory. In 2022, Mert graduated from Özyeğin University with a GPA of 3.71, ranking first in the department. He expanded his graduation project in collaboration with project members under the supervision of Prof. Dr. Feyza Çinicioğlu and Assoc. Prof. Zeynep Başaran Bundur and presented it in the 18th Young Geotechnical Engineers Symposium. Their paper titled ‘Microbially Induced Carbonate Precipitation (MICP) Use for Slope Stabilization in Sands and Clays’ was selected as the best paper.

In January 2023, he started the combined Ph.D. program in Geotechnical Engineering at The University of Texas at Austin. As a graduate research assistant, he is currently researching bio-catalyzed CO2 sequestration technologies. Furthermore, he has been working as a graduate teaching assistant for the Introduction to Geotechnical Engineering course for the past two semesters. He received the Larry Goertz Graduate Fellowship from the Cockrell School of Engineering for 2022-2023 in recognition of his academic achievements.

Tuna Tuncer (CS), while a student at Özyeğin University's Computer Science department, served as a Student Ambassador at Microsoft Turkey. Under the supervision of Assistant Prof. Emre Sefer for his graduation thesis, he utilized state-of-the-art neural networks capable of predicting stock price movements and subsequently published and presented a paper at the 3rd ACM International Conference on AI in Finance. He also engaged in research to optimize software continuous integration processes with Prof. Darko Marinov from UIUC, Assistant Prof. Wing Lam from GMU, and Assistant Prof. August Shi from UT Austin, which led to a significant pull request to the apache/shardingsphere project and a paper published in ASE 2023. During his research at Özyeğin, he led the development of a diffusion-based model for video instance segmentation in Assistant Prof. Sedat Özer's lab. Upon concluding his undergraduate studies, he embarked on a Master's degree in Informatics at the Technical University of Munich in Germany, where he presently continues to advance his academic pursuits.

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.