
DS: Data Science
This course covers essential topics such as data preprocessing, exploratory data analysis, and predictive modeling using machine learning techniques.
Courses & seminars
I am currently working as a Teaching Assistant (Lead) under the supervision of Prof. Dr. Wolfgang Maaß at Saarland University, Germany. In this role, I am primarily responsible for coordinating all teaching activities, including lecture preparation, thesis supervision, and the management of course materials and assessments.

This course covers essential topics such as data preprocessing, exploratory data analysis, and predictive modeling using machine learning techniques.

This course explores the applications of AI in business, focusing on how companies leverage machine learning, natural language processing, and automation to optimize operations and drive innovation.

This seminar delves into the principles, techniques, and challenges of designing and training large language models, emphasizing their architecture, optimization, and real-world applications.

Explore the transformative role of quantum computing in financial technologies, delving into quantum algorithms for risk assessment, cryptography, and portfolio optimization.

Investigate how artificial intelligence reshapes business strategies, emphasizing its applications in process automation, decision-making, and customer engagement.

Dive into cutting-edge research in business informatics, focusing on the intersection of technology, data-driven insights, and strategic business innovation.