Dominik Seeholzer

Key areas and tasks: - Developing and maintaining APIs for communications between business applications - Maintaining and improving internal toolchain for data integration - Elaborating on feasibility of machine learning algoriothms for improving analytical capabilities - Implementation of Product Information Management System

Key Areas and Tasks: - Integration of sales and storage data for distribution partners and platforms (Java Spring, Hibernate) - Refactoring B2B API, Implementation of notification messaging queues (Java, RabbitMQ) - Extension of Digital Revenue Interface for additional partner companies - Development of in-house application for the import of complex data in a digital asset management system (celum) - Development of data integration flow for reports/forecasts (Node.js, NATS, MongoDB) - Linux Administration

Grade: 1.30 Thesis: On the Effect of Initial Sample Selection For Deep Active Learning Focus: Data Science, Methods in Software Development.

Grade: 1.27 Thesis: Angle-Based Clustering (Published in SISAP 2020: https://www.springerprofessional.de/en/angle-based-clustering/18484906)

Grade: 1,81 Thesis: The effects of share repurchases on corporate policies