With over a decade of experience in the field of data science and statistics, I specialize in leveraging data-driven methodologies to tackle development challenges, particularly in humanitarian contexts.
- UNHCR, West and Central regional bureau: Expert in analyzing displacement data, developing predictive models to aid decision-making, and enhancing data collection through comprehensive surveys.
- FAO, Regional Resilience Emergency Office for West Africa: Focused on resilience project monitoring, impact evaluation, and building predictive models for anticipatory action.
- UN OCHA, Center for Humanitarian Data: Led the West and Central Africa data science team, elevating data literacy and fostering a community of practice in humanitarian data science.
I have contributed to several impactful projects, each designed to advance data-driven solutions in the field of humanitarian aid and development. Here's a glimpse of some key projects:
- robotoolbox: A comprehensive R package providing tools for accessing Kobotoolbox data in a tidy format.
- refugees: An R package dedicated to analyzing and visualizing forced displacement data from the Refugee Data Finder.
- rgeounbdaries: A client for the geoBoundaries API, providing country political administrative boundaries.
- rhdx: Access to the Humanitarian Data Exchange platform (HDX) and integration for humanitarian data science.
- racled: Access to the Armed Conflict Location & Event Data Project (ACLED) data for conflict analysis.
- prepr: A port of an innovative algorithm to clean spatial polygons.
- Languages: English, French
- Programming: R, Julia, Python, Stan, C, C++
- Databases & GIS: DuckDB, PostgreSQL, GRASS GIS
- Data Collection Tools: ODK, KoboToolbox
- Data Visualization: ggplot2, Observable
My work has been published in prestigious journals, contributing significantly to the understanding and management of agricultural and environmental challenges in Africa.
I am currently devoted to applying my expertise in data science to support humanitarian efforts, focusing on predictive modeling and enhancing data-driven decision-making processes within UNHCR.