Thesis title: Probabilistic Calibration in a Few-Shot Domain Adaptation Setting - Assessing machine learning models’ characteristics in bridging covariate shifts from new operational conditions for electric trucks

Selected to be part of a group of 12 students to be mentored in digital growth strategy, case solving and PowerPoint & presentation skills.

Internship at Applied Intelligence as a business lead in a client facing project. The role was aimed to bridge the connection between technical and business-oriented stakeholders. The work included collecting business requirements, planning and facilitating workshops, consolidating business input and working closely with client stakeholders.