Sebastian is a dynamic Junior Data Scientist at Dalberg Data Insights with extensive expertise in leveraging data to tackle complex challenges in international development. His diverse professional experience spans across various sectors, including public health, poverty alleviation, and disaster response. Sebastian’s exceptional skills in data analytics, machine learning, and programming have enabled him to drive innovative solutions that empower local and global communities. 
 
In his most recent project, Sebastian led the management and optimization of the COVAX data analytics pipeline for the World Health Organization, playing a crucial role in the fight against the pandemic. He developed sophisticated machine learning models to predict food insecurity in Somalia, collaborating with UN OCHA to address humanitarian crises. As a Junior Data Scientist at Dalberg, Sebastian continues to make significant contributions, building inclusive data ecosystems that enable data-driven decision-making in international development efforts. 
 
Sebastian has a strong academic background, earning a Master of Science in Public Policy, Management, and Data Analytics with the highest distinction from Carnegie Mellon University. He excelled in this highly selective STEM-certified program, which included rigorous coursework in data mining, machine learning, and statistics. Prior to his Master’s, Sebastian earned a Bachelor of Arts in International Relations with First Class Honours from SOAS University of London, where he also pursued a minor in Data Science at the London School of Economics.