Loai Siwas

Senior Data Analyst (global Logistic Cluster) at World Food Programme

Loai Siwas is a seasoned data analyst with extensive experience across various international organizations, currently serving as a Senior Data Analyst in the Global Logistic Cluster at the World Food Programme since March 2023. Previous roles include data analyst positions at UNICEF focusing on Nutrition and Education Clusters, and at the World Health Organization specializing in Health and COVID-19 clusters. Loai's career began with iMMAP Inc. as a Data Analyst and Data Visualization Specialist, followed by IT and media management roles at SKT Welfare. Loai's educational background includes a Master’s degree in Data Science & Leadership from Amsterdam Tech, multiple data science certifications from Microsoft and IBM, and bachelor's degrees in Computer Science from the University of the People and Project Management from Damascus University. Additional academic qualifications include associate degrees in Electronic Engineering, Information Technology, and a diploma in Graphic Design.

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Rome, Italy

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World Food Programme

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The World Food Programme is the food-assistance branch of the United Nations and the world's largest humanitarian organization addressing hunger and promoting food security.


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Headquarters

Roma, Italy

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10,000+

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