Aiman Noman
A Humanitarian Data Analyst · MSC DATA SCIENCE
Nine years across UNICEF, WHO, and more
A seasoned Information Management and Data Analysis professional.
Leveraging extensive experience in humanitarian and development contexts, I excel in transforming complex data into actionable insights.
Driven by a passion for social impact, I specialize in creating and maintaining advanced data infrastructures, ensuring the efficient delivery of aid to those in need, even in complex humanitarian contexts.
Having worked across field, country, regional and global levels, I bring a unique and practical understanding of how data moves through humanitarian systems, from field operations to strategic decision-making.
A decade of impact.
Working across international organizations to deliver data-driven solutions in humanitarian contexts.
Data Analyst Consultant
Supporting the development of a reproducible R-based workflow for multi-country education factsheets, automating an analytics pipeline, and building Shiny dashboards for country-level exploration.
Data & Information Management Officer
Managed health data from multiple countries, created systems and workflows, and processed large datasets using Python and R. Deployed applications and services in MS Azure and MS Fabric.
Information Management Officer
Supported WASH, Child Protection, and Education programmes. Extensively used Power BI and Tableau for dashboards. Generated GIS products and advanced form building using ODK and Kobo.
Database & Reporting Officer
Performed data cleaning, aggregation, and quality control. Utilized Power BI and Tableau for data shaping. Led capacity building efforts for data collection and database management.
MSc, Data Science
University of East London (Apr 2025)
BSc, Information Technology
Lebanese International University (Apr 2018)
English
Native or Bilingual Proficiency
Arabic
Native or Bilingual Proficiency
French
Working Knowledge
What I excel at.
Clear storytelling, reproducible analysis, and the platforms that carry it, developed across emergency operations, regional coordination, and global programme support.
Data storytelling
Scrollytelling that turns survey and surveillance data into a story a non-specialist can follow, pairing each chart with the context it needs to be read correctly.
Reproducible pipelines
Pipelines in R and Python that process survey microdata across countries, apply consistent statistical methods, and produce standardized outputs that re-run on demand.
Cloud data platforms
Designing how data is captured, stored, validated, and served, from beneficiary databases in active emergencies through to Azure and Microsoft Fabric for global publishing.
Decision-ready products
Translating complex datasets into clear visual products like dashboards, factsheets, maps, and decks, each built to support a real decision across diverse stakeholders.
I am proud to have worked with some of the best entities.
The stack, in motion.
Everything between the raw data and the final product.
Recent projects.
When being in school isn't enough
Age-grade alignment and foundational learning across 45 countries.
Read Post →When learning starts too late
Foundational reading skills across ~45 MICS6 countries—where learning starts, accelerates, and where inequality persists.
Read Post →A vaccine that prevents cancer
A data story on cervical cancer burden, HPV vaccine introduction and coverage, and screening and treatment gaps across the WHO African Region.
Read Post →Decoding Online Shopping Behaviors
Building a predictive model to analyze user purchases using Python.
Read Post →
Prioritization of Humanitarian Aid
Analyzing and prioritizing humanitarian aid in Yemen using R and spatial analysis.
Read Post →