Regional Analysis and Evidence Specialist

• Led the design and rollout of regional M&E dashboards that supported health protection strategies in over 5 countries—helping teams track progress and spot gaps faster. • Provided hands-on support for data collection and quality assurance across country teams, ensuring reports were accurate and actionable. • Created interactive visual tools that translated raw data into program insights, aiding both policy and frontline decisions. • Contributed to regional learning briefs and case studies that shared findings with both internal teams and external partners. • Contributed to regional learning

Regional Information Management Analyst

• Acted as a bridge between regional leadership, finance, and information teams—helping align data systems with strategic goals across health and education programs. • Set up practical M&E frameworks that guided country teams to collect, analyze, and use data more consistently. • Supported country offices to embed a culture of learning—encouraging teams to reflect on data and apply insights to improve program delivery. • Documented data workflows and led small system improvements that made reporting easier and more transparent.

Data Analytics and Use Specialist

• Built data pipelines and MEAL dashboards that supported decision-making across multi-country health projects. • Led mapping of program outcomes to SDG indicators, helping ensure donor reports were aligned and evidence based. • Worked with national teams to link systems like DHIS2 and iHRIS into existing data architectures, improving data flow and integration. Contributed to research protocols and aligned monitoring indicators with learning goals from the start of project cycles. • Provided technical input into Kenya’s eHealth standards and interoperability guidelines—ensuring that local systems could scale and connect.

Software Developer & Information Systems Manager

• Developed and maintained integrated health information systems, enhancing the collection, processing, and reporting of surveillance and program data. • Established data quality monitoring frameworks to ensure completeness, accuracy, and timeliness of reported health data. • Supported analysis of maternal and child health indicators, contributing to improved program targeting and planning. • Provided technical support to government health programs in developing custom reporting tools and conducting data quality assessments.

Doctorate in Business Administration (AI & Machine Learning)

Postgraduate Program in Data Science & Business Analytics