Sebastian Krieger

Led the development and management of large-scale data workflows and ETL pipelines, processing millions of records daily for financial data products. Developed machine learning models to predict financial conditions and detect anomalies, while mentoring colleagues on best practices in data analysis.

Designed and implemented ETL pipelines for large datasets and delivered data science training programs for technical professionals, applying machine learning techniques to drive business growth.

Coordinated logistics and information flow for high-profile events, supporting senior officials and managing event operations, while ensuring seamless communication among stakeholders.

Supervised a team to ensure efficient operations in a fast-paced environment, coordinating the publication of sporting information and providing exceptional customer service to athletes and officials.

Managed and analyzed datasets for biogeochemistry research, designed a MySQL database for data management, and taught students on data analysis and numerical modeling.

Completed a Doctorate in Physical Oceanography, focusing on advanced studies in oceanographic processes and data analysis.

Pursued postgraduate studies in Ocean Observatories, enhancing knowledge in oceanographic data collection and analysis.

Achieved a Master's degree in Physical Oceanography, focusing on research methodologies and data analysis techniques.

Obtained a Bachelor's degree in Physics, providing a solid foundation in physical sciences and analytical skills.

Completed vocational training in Industrial Business Management, gaining insights into business operations and management principles.