Mussa Ngosha is an ICT officer at the Tanzania Fisheries Research Institute (TAFIRI). He has a bachelor of science degree in computer science (informatics) from Sokoine University of Agriculture (SUA), College of Computer Science, Department of Informatics. Ngosha is possessing a master's degree in Data Science from the University of Dar es Salaam (UDSM), the College of Information and Communication Technologies (CoICT), and the Department of Computer Science and Engineering. He has experience in earth observation sciences, GIS and remote sensing, computer programming skills such as R and Python, artificial intelligence, machine learning, deep neural networks, and big data analytics. Ngosha is capable of working with remotely sensed satellite imageries and in situ data from local, remote, and distributed servers. He has been collaborating with scientists working on oceanography, blue carbon ecosystems, and marine and coastal environments in the West Indian Ocean (WIO) region and Indo-Pacific waters. Ngosha has developed a deep neural network model for detecting seagrass species from unnamed aerial vehicles' (UAV) images. He also collaborated in the development of the machine learning model for mangrove species classification from satellite imagery (Sentinel-2) data. Ngosha has attended various international conferences, workshops, and training courses around the world, particularly in earth observation sciences and oceanography. He is a strong advocate of open science and reproducible research. He aspires to use science to solve problems rather than study them.