3 BS Alumni

Ece (ME), works as a Senior Specialist Engineer in the Truck R&D department of Mercedes Benz Turk A.S. company. As part of her job description, she contributes to the development of electric heavy/medium truck concepts. Gaining experience in the application areas of engineering during her internships, Ece received training in automotive design in 2015 and completed 2 separate design projects during this time. Afterwards, she studied at Pforzheim University as an exchange student with an Erasmus+ scholarship. Between May-October 2017, she worked as a TÜBITAK scholar in the project titled "Dynamics of Drops That Hit Moving Surfaces and Its Use in Surface Coating and Spray Technologies".

In her undergraduate thesis, she worked on the optimization of the anti-roll bar of Mercedes heavy class construction site trucks. With this work she did with her teammate, they won the third prize in the 7th automotive R&D project market and component design competition in 2018. Within the scope of the same project, they also transferred their work to an academic article and this study was published in the International Mechanical Engineering Congress & Exposition (IMECE), one of the largest mechanical engineering conferences in the world.

After her graduation, she started to work for TUSAŞ Motor Sanayii A.Ş. as a Structural Analysis Engineer. Between the years 2018-2022, she worked in the TEI-TS1400 Turboshaft Engine Development Project, which is Turkey's first type certificated original and national engine. She returned to the automotive sector as of April 2022 and still continues her work at Mercedes Benz Türk A.Ş.

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.

Cem Anıl Arslan (IE) is a Data Science Expert at McKinsey & Company management consulting firm. In his role, he is managing analytics studies in the energy sector. He combines his analytical expertise in machine learning and optimization techniques with energy sector knowledge to increase the profitability of the plants while also reducing their environmental carbon footprint. 

Cem holds bachelors from Ozyegin University with a major in Industrial Engineering and a minor in Computer Science. He graduated from Ozyegin University in 2017 as the valedictorian of his class. Following 2 years of experience in the industry, he persuaded a Master's in Artificial Intelligence from KU Leuven from which he graduated with a magna cum laude degree.

Cem joined the Management Consulting firm McKinsey & Company as a data scientist in 2017. Since then, his focus was in energy sector projects in different countries including Turkey, Thailand, Malaysia and Azerbaijan. Currently, he is the most firm-tenured Data Scientist in the Istanbul Office.

In his projects in the energy sector, Cem uses different machine learning techniques to model complex chemical reactions and utilizes various optimization algorithms to increase profitability via dynamically optimizing process parameters. In a typical study, 3+ years of data from 2000+ different sensors are utilized to understand these complex relationships. As a consultant, Cem's responsibilities also involve developing the right software infrastructure that will enable deployment of the analytical models, design and development of dynamic dashboards to show the results to plant engineers and operators and ensuring the adoption of new tools that come with digital transformation to ensure that analytical solutions generate real impact.

Projects in which Cem was involved enabled analytical-driven profitability increase between 2-7% and reduced the carbon footprint of the plants enabling more efficient operations with reduced energy and feedstock consumption. 2 of the analytical projects in which Cem was lead data scientist was selected as digital lighthouse projects (across the globe) by the World Economy Forum.