Robert Ibatullin
About Robert Ibatullin
Robert Ibatullin is a data scientist known for developing neural networks for automated systems, including a parking system that identifies specific vehicle types. He has a background in theoretical physics and has held various academic and industry positions in data science and software development.
Work at Raiffeisen Bank International
Robert Ibatullin has been employed at Raiffeisen Bank International AG as a Data Scientist since 2024. In this role, he applies his expertise in data science to enhance the bank's data-driven decision-making processes. His work involves utilizing advanced analytical techniques to derive insights from complex datasets, contributing to the bank's operational efficiency and strategic initiatives.
Previous Experience in Software Development
Prior to his current position, Robert Ibatullin worked at Andersen Lab as a Senior Software Developer from 2021 to 2022 in Tbilisi, Georgia. During his tenure, he focused on software development projects, leveraging his technical skills to contribute to the company's objectives. His experience in software development laid a strong foundation for his transition into data science.
Education and Expertise
Robert Ibatullin completed his PhD in theoretical physics at Bashkir State University from 1991 to 1996. This academic background provided him with a solid understanding of complex scientific principles and analytical methods. His education has been instrumental in his career, particularly in data science and machine learning, where analytical skills are essential.
Academic Career and Teaching Experience
Robert Ibatullin served as an Associate Professor at the Moscow State Academy of Water Transportation from 2003 to 2017. He taught courses in the Department of Natural Sciences and Mathematics, contributing to the academic development of students in the field. Additionally, he held a similar position at the Bashkir Academy of State Service and Management from 2000 to 2003, where he further developed his teaching and mentoring skills.
Projects and Contributions in Data Science
Robert Ibatullin has engaged in various data science projects that demonstrate his technical capabilities. He created a neural network for an automated parking system to identify special vehicle types, such as police and medical vehicles. He also developed a predictive model for a major steel plant to forecast product defects and designed a neural network model for a metal manufacturer to classify gravel fractions in real-time video. His participation in Kaggle competitions highlights his commitment to advancing his skills in data science and machine learning.