Christos Papandreou

Christos Papandreou has a range of work experience in the maritime industry, with a focus on energy efficiency and fleet performance. Christos is currently working as a Senior Fleet Performance Engineer at DeepSea Technologies, where they play a key role in optimizing fleet performance. Prior to this, they worked at StormGeo Shipping as an Energy Efficiency & Fleet Performance Engineer, contributing to the improvement of energy efficiency in shipping operations. Christos also gained extensive experience at Athenian Sea Carriers, Ltd., where they held the position of Energy Efficiency & Fleet Performance Engineer. In this role, they were responsible for various tasks including the development of energy management systems, creation of machine learning and deep learning systems for performance predictions, and monitoring vessel conditions. Christos also worked as a Naval Architect & Marine Engineer at PwC Greece and IMAREM, focusing on energy efficiency initiatives and the design of performance monitoring software. Additionally, they worked as a Private Tutor and KEK Technician & Examination Supervisor. Overall, Christos has a strong background in energy efficiency, fleet performance, and technical expertise in the maritime industry.

Christos Papandreou started their education in 2007 at the National Technical University of Athens, where they pursued an Engineer's Degree in Naval Architecture and Marine Engineering. Christos completed their studies in 2013.

In terms of additional certifications, Christos obtained a Certificate in Consulting Essentials from PwC Greece in February 2016. Following that, they completed a specialization in Data Analysis and Presentation Skills: the PwC Approach, consisting of five courses over six months, offered by PwC. Subsequently, in October 2018, they completed the course "Deep Learning A-Z™: Hands-On Artificial Neural Networks" provided by Udemy.

Continuing their professional development, Christos completed a specialization in Deep Learning consisting of five courses over four months, offered by deeplearning.ai, in April 2020. Additionally, they completed the specialization "Tensorflow in practice" from deeplearning.ai, which also included four courses over four months, in May 2020. Most recently, in May 2021, Christos obtained a specialization in "TensorFlow Data and Deployment" from deeplearning.ai, which required the completion of four courses over four months.