3 BS Alumni

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

Doğa Yılmaz (CS), earned his B.Sc. degree in Computer Science, and subsequently, he secured admission to the M.Sc. in Artificial Intelligence program along with a prestigious Fellowship at Özyeğin University. During his M.Sc., Doğa worked as a research assistant specializing in "Inverse Rendering" at OzU's Vision and Graphics Lab. His academic achievements include notable publications in international journals and conferences. Additionally, Doğa actively contributes to the academic community as a valued reviewer for various academic journals and conferences.

Following his graduation, Doğa continued his journey at Fishency Innovation as an R&D Software Engineer in Norway. Here, he contributes to innovative projects focused on underwater 3D reconstruction of Atlantic salmon, with the ultimate goal of enhancing offshore salmon farming efficiency. Doğa is at the forefront of developing technologies that promise a more sustainable and environmentally friendly future for food production.

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.