Develop a full-stack Data Science project for emotion detection based on physiological time series data in collaboration with the research consortium that address clinical needs in care (https://www.zeit-projekt.org), comprising defining the problem statement, data acquisition, data preparation, model evaluation and deployment. Deliverables include a company intern dataset used for future development and a LSTM neural network model deployed on RaspberryPi using TensorFlow lite, which is currently being used by the University Wuppertal.Explored future use-cases of machine learning as part of a medical product, considering requirement, user-value, feasibility, and in the context of regulatory affairs. Deliverables are proof-of-concept projects that show how current rule-based algorithms can be replaced with machine learning models to improve outcome by up to 50%.Acquired knowledge of the company's AWS architecture, focusing on DynamoDB and Lambda functions. Participated in both theoretical and hands-on training to enhance technical skills and readiness for future projects.

Developing automated test cases for an internal requirements engineering management software with automated tools such as Ranorex Studio in C#Developing and testing new functionalities in VisualStudio with C# for the softwareDocumenting test scripts and cases for later reproduction and understanding by various stakeholders

Thesis Topic: "Detection of the Variance of QRS Complexes Within a Clinical Data Set and Implementation of This Variance in an Existing ECG Synthesis"

Developed and implemented a GUI in Matlab for the annotation and synchronization of ECG signals and video recordings of test subjectsImplemented a framework in Matlab for feature extraction from ECG raw signals for the evaluation of QRS complexes

Conducted market research on trends and best practices for the company's product portfolioCompiled reports on findings for senior managementMaintained internal technical documentations

Reviewed and analyzed the quality of pharmaceutical equipment and systems database

Analyzed and interpreted 3D satellite and aerial imagery in GIS to identify objects of interest for later creation of high-quality maps

Compulsory military service