MARANATHA YAMUSH EMMANUEL

Improved program decision-making speed by 30% by leading impact evaluation and MEL analysis across multi-country global health interventions, including MMS (Multiple Micronutrient Supplementation), SQ-LNS, IPTsc, and deworming programs applying causal inference and statistical methods (Stata, R).

• Identified 15–25% treatment coverage gaps across implementation areas through statistical and geospatial analysis, informing targeted interventions and resource allocation strategies.
• Supported RCT and quasi-experimental evaluation workflows, contributing to study design, sampling strategies, and analytical outputs used in program optimization.
• Increased data accuracy and reliability by 40% by designing and implementing data quality assurance, validation checks, and cross-dataset verification systems.
• Reduced data inconsistencies by 35% by reviewing and reconciling independent monitoring datasets with internal program data.
• Designed and deployed survey instruments and digital data collection tools, improving data completeness rates by 20% through optimized skip logic and survey flow.
• Conducted literature reviews and evidence synthesis, contributing to adoption of cost-effective program adjustments across intervention areas.
• Built automated dashboards (Power BI, SQL, Excel), reducing reporting turnaround time by ~50% and enabling real-time program monitoring and learning.
• Collaborated with engineering, program, and operations teams, ensuring research findings were translated into actionable program strategies.
• Supported pilot studies, coverage surveys, and field monitoring, strengthening alignment with evaluation protocols and research objectives.

• Coordinated and supported field data collection for the MATAI project in some selected parts
of Abuja.
• Supported baseline research studies and survey implementation, contributing to data-driven
program design decisions.
• Improved data quality and consistency by 30% through rigorous data cleaning, validation,
and documentation processes.
• Produced analytical reports and insights that informed advocacy strategies and program
planning decisions.
• Integrated community-level data into structured datasets, increasing the usability of field
data for research and evaluation purposes.