Maher Daoud
Data Scientist
Abu Dhabi Emirate, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolMaher 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 schoolBachelor’s Degree, Computer Science, distinction, Bachelor’s Degree, Computer Science, distinction at Princess Sumaya University for Technology
English, Arabic
Github Skills (19)
kobotoolbox9
sparklyr9
dplyr9
ide8
livy8
survey8
xlsform8
r8
toolbox8
retrieval7
odk7
spark7
api7
machine-learning6
apache-spark6
Programming languages (1)
Github contributions (5)
maherdaoud/koboloadeR
Nov 2018 - Aug 2019
This package facilitates the data crunching of any dataset collected using an xlsform compatible platform (KoboToolbox, ODK, ONA, etc.)
Contributions:9 PRs, 47 pushes in 9 months
kobotoolboxdatasetxlsformfacilitatesona
maherdaoud/Boston-House-Price-Prediction
Feb 2022 - Feb 2022
Contributions:1 push, 1 branch in 6 days
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