Berlin, Berlin, Germany
I consult the german academy of science and engineering. My field of expertice is data and how it relates to A.I. technologies. I bring to the table my experience from positions as developer, data scientist, scrum facilitator, product owner, engineer (MSc), A.I. researcher (Bsc.), trained empirical scientist (PhD scholarship), cognitive psychologist and entrepreneur (two times: Exist scholarship & inhosue entrepreneur)
My responsibility is to establish our trust-framework for data sharing within the sphin-X health-data ecosystem. This includes scoping, facilitating and shaping: the governance processes, the best practices (rulebook), standardizations towards Interoperability, the technology and data space components, and overseeing the development of infrastructures, software and roles within the ecosystem.
Project Lead for the Media Data Space: End-to-end responsibility for the concept, coordination, and delivery of an industry-wide, data-driven and AI focused media initiative, including stakeholder management, strategic oversight, and operational execution.
Talking to businesses and developers who want to enter 'data spaces' or take adventage of the framework. Providing best practices from the community back to the community.
-- AWS, Azure, python, node, serverless, mongo, sql, spark, jira, git, leapsome, notion
Research and development of unsupervised machine learning SaaS solution to personalized modelling of costumers needs. -- python, jupyter, git, scikit-learn, pandas, g-suite -- 'psychometrics' for marketing (in-game)
Researching, managing, and developing bio-feedback products to model athletes condition during training. -- python, pandas, scikit-learn, scipy, git, AWS -- 'psychometrics' for predicting game performance