Maher Daoud is a data scientist and AI leader with a decade of experience building production ML and big data systems across government, humanitarian, banking, and e-commerce sectors. Based in Abu Dhabi, he has delivered crime-prediction heatmaps and national law enforcement AI platforms for the UAE Ministry of Interior, deployed Hadoop and Spark solutions, and built reproducible analysis tooling and vulnerability-scoring models for UNHCR. He is the author of koboloadeR, an open-source R package and Shiny UI that streamlines humanitarian data analysis and enforces reproducible workflows, reflecting his focus on practical, impact-driven tooling. Comfortable from low-level ETL and APIs to model deployment and dashboards, he blends strong R expertise with experience in Java, PHP, Solr and big-data engineering. Notably, his work often targets operational decision-making—turning complex, hierarchical survey and administrative data into actionable insights for frontline programs.
10 years of coding experience
4 years of employment as a software developer
tawjihi, scientific branch, 94.7, tawjihi, scientific branch, 94.7 at al ittihad school
Bachelor’s Degree, Computer Science, distinction, Bachelor’s Degree, Computer Science, distinction at Princess Sumaya University for Technology
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