3 BS Alumni

Tolga Aydın (CE) successfully completed his civil engineering undergraduate studies, along with an electrical and electronic engineering minor program graduating with a GPA of 3.47 in 2022, ranking second among his peers. During his undergraduate studies, he volunteered as a teaching assistant for MATH 104, MATH 212, and MATH 211 courses.

On the academic front, he participated as an undergraduate scholarship holder in the TÜBİTAK project titled "Production of Prototypes by Additive Manufacturing Method Using Fiber-Reinforced Geopolymer Mortars (GEO-3B)" under the supervision of Assoc. Prof. Dr. Zeynep Başaran Bundur. The outcomes of the final project, conducted with his team, were presented in a paper titled "Utilization of Microbially Induced Calcite Precipitation (MICP) for Soil Improvement" at the 2^nd National Symposium of Young Geotechnical Engineers, hosted by the Department of Civil Engineering, Geotechnical Division, Erciyes University, on September 28, 2022, and recognized as the 'best paper' by the Board of Directors.

He is currently pursuing his master's degree at Özyeğin University. In the first year of his master's program, he worked on the TÜBİTAK project titled "Production of Fiber-Reinforced Cement-Based Composites with 3D Printers". His current research focuses on the design of a fiber-reinforced single-piece geopolymer mortar suitable for 3D printer technology, utilizing waste stone wool.

Atacan (CE) is currently working in the field of 3D Building Modeling and Project Management. Shortly after starting the university, he became interested in the visual-based project management methods of the construction sector, he developed his modeling skills on 3D building modeling, both in his spare time and computer-aided technical drawing lessons that he took at the university, and decided to work in his professional life on the usage and purposes of these models. He tried to use his 3D modeling and visual thinking skills in different areas of his life and also in different courses and projects he took at the university. He carried his 3D modeling skills to his hobbies and created a fun occupation for himself by taking prints with 3D printers. Later, he even carried this knowledge to his graduation project and wrote his thesis on 3D Concrete Printers and Concrete Mortar Properties.

His professional life has been in the field of Building Information Modeling, construction project management, document and business process management, 3D model supported cost calculations, business plans and conflict analysis, etc. He started working on methods. He is actively working as BIM (Building Information Modeling) Models.

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.