To me, Data Science is the way to support businesses that face complex problems in reaching their goals. In my role, I enjoy most to connect with people, understand their needs, and find a solution. The ever changing field of Data Science is also my source of constant learning and growth.
Jan 2022 - Present
Munich
One Data specializes in unlocking business value from data, either by building customized solutions or by providing standardized data products. At One Data, Data Scientists develop solutions on their home-grown technology platform.
Jan 2022 - Present
Dec 2020 - Dec 2021
Munich
adesso insurance solutions GmbH develops standard software solutions for all insurance branches in the private and commercial sector.
Dec 2020 - Dec 2021
Ph. D. Student in Statistics and Operational Research (To gain more practical experience, I decided to leave my Ph. D. early.) | ||
M. Res. in Statistics and Operational ResearchBritish postgraduate grading system: 72.83 (pass with distinction) out of 100.00 (= highest) | ||
2013-2017 M. Sc. in Management, Business and Economics5-point grading scale: 1.3 (pass with distinction) out of 5.0 (= lowest) | ||
2012-2015 M. Sc. in Electrical Engineering, Information Technology and Computer Engineering5-point grading scale: 1.5 out of 5.0 (= lowest) | ||
B. Sc. in Electrical Engineering and Information Technology5-point grading scale: 2.13 out of 5.0 (= lowest) |
IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables Data Scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing Data Scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies.
The Foundation Level addresses the advanced beginner in Requirements Engineering and provides the core knowledge of this topic. The Foundation Level encompasses the elicitation of requirements with appropriate documentation, requirements verification and validation as well as their management throughout the end-to-end product life cycle.