About Me

I am an Information Management and Data Analytics professional with a background in Computer Engineering and experience working at the intersection of technology, data, and humanitarian action. My work focuses on transforming complex data into meaningful information that supports coordination, planning, reporting, and evidence-based decision-making.

I hold a B.Eng. (Hons) in Computer Engineering from the University of Maiduguri, where I developed a strong foundation in computer systems, software development, databases, networking, and information technology. My academic background continues to shape my interest in data, technology, and the development of innovative digital solutions.

Professionally, I have experience supporting humanitarian coordination and information management across the Nigeria and Libya humanitarian contexts. I have worked with humanitarian organizations and coordination platforms to develop data collection systems, information products, dashboards, reporting tools, interactive maps, and digital solutions that strengthen coordination and evidence-based decision-making.

My technical expertise includes R, Python, Power BI, SQL, PostgreSQL, KoboToolbox, ODK, QGIS, JavaScript, React, Node.js, and web application development. I use these technologies to design practical solutions for data collection, management, analysis, visualization, and reporting.

I am also a Certified Data Protection Officer (CDPO), with an interest in data protection, responsible data management, digital transformation, artificial intelligence, cloud computing, IoT, and sustainable computing.

My professional interests sit at the intersection of technology, data, and humanitarian action. I am particularly interested in using data and digital technologies to improve organizational efficiency, strengthen coordination, support accountability, and enable better decisions.

I am continuously developing my skills and exploring opportunities for advanced study and research in areas such as sustainable and energy-efficient computing, adaptive embedded systems, machine learning, IoT, cloud computing, and data-driven technologies.