David Odutola is a highly skilled Hydrographic surveyor, Geophysicist and Data scientist with a strong track record of success in delivering results. With his experience in the Navy and as a certified FIG/IHO/ICA Category A Hydrography Surveyor, he brings expertise in quality marine data acquisition, processing, and analysis. Proficient in QPS Maritime Software (Qinsy, Qimera, and FMGT), Hypack, ArcGIS, and Python, David has successfully conducted numerous survey campaigns and produced valuable insights for diverse projects, including UXO, Geotechnical, Bathymetric, Cable Tracking, and Offshore Wind Farm Inspections in the North Sea, Baltic Sea and the Gulf of Guinea. He possesses a Master's degree in Geodesy and Geoinformatics from the Hafencity University in Hamburg and has collaborated with international organizations, demonstrating effective communication and stakeholder engagement. David has also engaged in research in the field of geoscience, data science and hydrography, with his most recent research in 2022 being "Investigating Acoustic System Dependence of Trained Models in the Automatic Detection of Boulders Using Neural Networks." David's passion lies in using data-driven approaches to contribute to exploring and understanding our oceans and water bodies. When David is not at sea working, he most likely analyses football tactics or spends time teaching.