Abdiqafar Mohamed - Data & Geospatial Specialist

Professional Summary

An accomplished Monitoring and Evaluation (M&E) and data analysis specialist with over 8 years of experience, I excel in designing and managing research and evaluation projects, particularly in fragile contexts. I hold a Master of Arts in Monitoring and Evaluation and an Advanced Diploma in GIS Applications. My expertise spans spatial data analysis, geospatial modeling, and data visualization using ArcGIS, QGIS, Python, R, and SPSS to deliver actionable insights for humanitarian and development initiatives. I am passionate about driving data-driven solutions for vulnerable populations.

Core Skills

Data Science Power

Python: Automated data pipelines with Pandas, created predictive models with Scikit-learn
R: Developed statistical models using Tidyverse, visualized results with ggplot2
SQL: Built optimized databases handling millions of humanitarian records
NVivo: Analyzed 500+ community interviews to identify program gaps

Geospatial Mastery

ArcGIS/QGIS: Created flood risk models protecting 50,000+ people
Remote Sensing: Analyzed satellite imagery to track drought impacts
Web Mapping: Built interactive dashboards for real-time crisis monitoring
Geodatabases: Designed systems integrating field data with spatial analysis

Project Leadership

ManagING $1.5M BMZ-funded WASH projects from design to evaluation
Reduced reporting time by 40% through automated data workflows
Coordinated 20+ partners and government agencies in multi-agency Ebola response
Mentored 15 staff in data collection best practices and using different tools

Advanced Analytics

SPSS/Excel: Processed 10,000+ survey responses for food security analysis
Power BI: Created dynamic reports for donor decision-making
Machine Learning: Developed early warning models for famine prediction
Web Tech: HTML/CSS/JavaScript for custom data visualization

Community Insights

Designed feedback systems reaching 15,000+ beneficiaries
Led participatory mapping with vulnerable communities
Translated complex data into local language reports
Trained 200+ staff in qualitative data collection

Monitoring Excellence

Developed 50+ SMART indicators for WFP programs
Conducted third-party monitoring in high-risk areas
Created real-time dashboards for program adjustments
Implemented blockchain for aid distribution tracking