Henning Schröder

• Design & implementation of a cloud-native MLOPS Framework • Requirement analysis, design, exploratory analysis and modeling for predictive maintenance • Implementation & deployment of predictive algorithms & models • Conception & built of monitoring for model & data quality • Development of frameworks for data collection, transformation & storage • Time series analysis, machine learning, descriptive and mathematical statistics & optimization • Ad-hoc analyses & visualization and communication

• Generating performance diagnostic insights from kinematic data • Creating dashboards, reports & automated monitoring tools • Developing new analytical methods for sports science • Technical project management after product implementation • Developing a service structure in the sports & industrial sector • Supporting the project & product management • Assisting the development team in processing customer requests • Technical customer support & implementing measures for fault rectification

• Management and support of industrial projects in collaboration with adidas • Development and design of measuring systems • Planning and execution of tests, measurements and statistical analyses • Creation of technical documentation, reports, requirement specifications and hazard analyses • Simulation of mechanical systems • Commissioning and maintenance of supervised systems

• Master Thesis Student: Structural optimization of football boot outsoles • Parametric CAD modelling • FEM simulation including pre- and postprocessing • Mathematical optimization and predictive modelling • Process automation • Creation of a landmark detection tool for 3D data • Analysis of shoe bending properties including mechanical testing and statistical analyses

• Maintenance of the Athlete Services Lab including preparation of Pro Athlete visits and data post processing • Testing and data analysis through statistical and machine learning methods • Improving a program for individual foot-last analysis, including a graphical user interface, landmark detection and 3D visualization • Data analysis of big data sets of athlete assessments using 3D and ordinal data • CAD work with 3D models

• Planning and implementation of a project to analyse the mechanical integrity of port catheter systems • Construction of a test bed • Programming of a tool for semi-automatic data analysis

• Mandatory internship: • Facility Management
 • Assembly • Milling • Turning • Quality

(Overall grade: 1,4)

• Overall grade: 2.3 • Specialization: Biomechanics