In my role as a Senior Data Scientist, I help digikoo’s customers by establishing a foundation for decision-making through the integration and modeling of data from diverse sources.
My colleagues appreciate my holistic, business-driven approach to problem-solving, my ability to successfully lead technical projects, and my open communication style.
I find working in the energy sector during this transformative period to be highly rewarding, as it gives me the opportunity to make a positive contribution to achieving climate neutrality.
Nov 2023 - Present
Essen
digikoo’s solutions offer data-based insights and concrete recommendations for action for a sustainable local energy transition.
Nov 2023 - Present
Jan 2022 - Oct 2023
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.
Apr 2023 - Oct 2023
Jan 2022 - Apr 2023
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) |
Essentials Workshops are highly interactive, totally free, self-paced, online courses for learners who are new to Snowflake or new to data work in general. Workshops feature animated scenarios, hands-on labs, and knowledge check questions. Lab work is graded by Snowflake University’s scoring robot, DORA.
dbt Fundamentals is a course to learn the foundational steps of transforming data with dbt.
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.
