Description

I help NGOs, UN agencies, and research organizations make sense of complex data, from messy survey datasets to polished dashboards and reports that actually drive decisions.

With 8+ years of experience in the humanitarian and international development sector (UNHCR, UNOCHA, ICAP at Columbia University), I bring both the technical depth and the sector fluency that most data freelancers can't offer. I work across the full data pipeline: survey design in KoBoToolbox/CSPro, data cleaning and statistical analysis in R and Python, and stakeholder-ready visualizations in Power BI and ggplot2.

What sets me apart is the combination of rigorous analytical training, including an MIT MicroMasters in Statistics and Data Science and two forthcoming academic book chapters, with hands-on field experience in humanitarian contexts. I understand the data challenges specific to this sector: small samples, messy administrative data, multi-language surveys, and the need to communicate findings to non-technical audiences.

Typical projects include survey analysis and reporting, M&E framework design, data cleaning and wrangling, and interactive dashboards for program teams and donors.

Langues

Anglais
Bilingue ou natif
Français
Capacité professionnelle limitée
Espagnol
Notions
Arabe
Notions
Allemand
Bilingue ou natif

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

UNHCR
Statistics and Data Analysis Officer
janvier 2025 - Aujourd'hui (1 an et 5 mois)
Copenhagen, Denmark
• • Conduct research and analysis on statistical methodologies related to forced displacement and statelessness, supporting the application of the International Recommendations on Refugee, IDP, and Statelessness Statistics.
• • Support capacity development efforts, including technical support to national statistical offices (NSOs) and stakeholders to enhance data production, analysis and use.
• • Develop knowledge products, guidance materials, and analytical reports to facilitate the adoption of international statistical recommendations.
• • Contribute to data harmonization initiatives, including reviewing methodologies, indicators, and data sources to strengthen comparability across countries.
• • Engage with partners, UN agencies, and national statistical systems, supporting inter-agency collaboration and policy discussions on displacement and statelessness statistics, as well as organize technical meetings, workshops, and training sessions.
R Analyse exploratoire des données Microsoft Power BI
Columbia University Mailman School of Public Health
Data Management & Research Officer
janvier 2024 - février 2025 (1 an et 1 mois)
New York, États-Unis
• • Managed, analyzed, and interpreted large-scale health survey datasets to assess HIV prevention, care, and treatment programs across Sub-Saharan Africa.
• • Developed analytical pipelines using R and Python to transform health-related data into actionable insights.
R Python Analyse exploratoire des données
UNHCR
Information Management Associate
novembre 2022 - janvier 2024 (1 an et 2 mois)
Washington, DC, USA
• • Led protection information management and other data collection initiatives such as rapid needs assessments in the US, Haiti and Antigua & Barbuda, ensuring high-quality data collection, processing, and visualization for humanitarian responses.
• • Designed and implemented interactive Power BI dashboards and spatial analyses in ArcGIS Pro to support border monitoring, IDP assessments, and refugee statistics.
• • Developed and operationalized a results-based monitoring database in ActivityInfo for tracking program impact.
• • Conducted statistical reporting for the UNHCR Global Trends Report using R.
• • Led capacity-building workshops for ICAP country teams, CDC, and National Statistics Institutes, focusing on data collection, management, and GIS methodologies.
• • Acted as the primary French-English translator for technical documents and training materials.
Analyse exploratoire des données Microsoft Power BI Visualisation de données