David Niyigena

Designs multi-step visual reasoning tasks from complex charts to evaluate frontier AI models. Develops verified reference answers and refines prompts and solutions based on model results and reviewer feedback.

Analyzed sales, pricing, inventory, and customer data to identify trends and support e-commerce and operational decisions. Developed dashboards and reports to track KPIs and improve reporting accuracy.

Processed, cleaned, and validated data for analytical systems and predictive machine learning investigations. Researched, trained, and tested models, including feature selection and classifier optimization.

Supported programme evaluation, maintained participant databases, reviewed evaluations, and assisted staff onboarding through the Mandela Washington Fellowship.

Used performance data to guide teaching quality improvements and supervised school leadership development activities.

Coordinated assessments, led teacher professional development, and facilitated stakeholder meetings to review data and inform programme planning.

Collected survey data using KoBoCollect and Tangerine for the USAID Soma Umenye project.

Supported MEL plans, indicators, data collection tools, and schedules aligned with programme priorities and donor requirements. Coordinated field data collection and ensured data quality and participant data protection.

Managed MEAL systems and analyzed programme data using SPSS and Stata. Prepared donor reports and dashboards and conducted data quality audits.

Supported monitoring and coordination for UNICEF-funded education projects.

Provided tutoring at a teacher training college.

Pursuing a Master of Science in Data Science, expected to complete in 2026.

Participated in the Mandela Washington Fellowship for Leadership in Civic Engagement in 2022.

Earned a Bachelor of Education from the University of Rwanda in 2015.

Earned the IBM Data Analyst Professional Certificate in 2025.

Completed coursework in Computer Science Essentials.