Pascal Yannick Dorn

Consulting in different projects and industries to build up technical data solutions including the following: - Design of cloud architectures for data platforms in AWS and implementation using infrastructure as code (terraform + cloudformation) - Focus in the cloud on high availability and scalability including security, networking, compliance, user management, cost optimization, performance optimization and standardization working with multiple accounts, regions and partitions (AWS China) - Design, development and testing of custom microservices with Java, Python and Scala - Technical Lead for 10 developers and Architect for the product - Building up an internal developer platform at the customer and providing standardized, validated and secure solutions for other development teams - Building complex CI/CD solutions in AWS, Github and Azure DevOps - Design and implementation of data engineering solutions with AWS and Databricks - Agile software developement using SCRUM and SAFe principles, - Evaluation of new technologies and frameworks - Conducting workshops to find out the customer's actual pain points and the right technical solutions - Lecturer for external trainings in the field of cloud and software engineering Internal engagement: - Conducting technical job interviews - Designing and presenting technical concepts for sales activities - Contributing to OKR

Developing a method to explain AI decisions within the car-industry. Preparation of log- and sensordata from vehicles of a car manufacturer. Creation and optimization of a neural network to automatically detect new traffic patterns within this data. The neural network is used to create a small dataset with many different, diverse traffic situations from the general dataset. The comprehensibility of the decision of the neural network is guaranteed by adapting analytics methods meant for labeled datasets to unlabeled datasets to verify the validity of the AI's decision.

Creation of data science solutions for internal departments. Data processing and data analytics using R and MySQL databases as well as creating dashboards using R-shiny. Focus on geodata, geoclustering, forecasting, reporting and route optimization.

Software developement for economic experiments using Java. Identification and implementation of the project partner's requirements in continuous loops. Data analysis using R after successful completion of the experiments.

Coordination and Scheduling of delivery dates. Global Allocation Planning to avoid bottlenecks. Close communication with suppliers and other plants worldwide. Developement of VBA-macros for planning tools using Excel.

Creation of CAD-drawings, various jobs in production and quality to understand the engineering process, and visiting customers.

Specialization in Computer Science, Data Science, Service & Information Management, and Virtual Engineering