Gabriel Agbobli

Recognized globally by Google for advanced technical expertise in Google Cloud and Cloud AI architectures, participating in product feedback loops and early-access programs. Champion developer community enablement by designing and delivering technical workshops, codelabs, and keynotes on multi-agent systems and serverless cloud architectures across Sub-Saharan Africa.

Selected as a scholar under the Intra-Africa Academic Mobility Scheme for the Mobility for Research and African Integration through Health Sciences (BRAINS) programme. Conducting a comparative evaluation of hybrid feature selection methods for predicting microsatellite instability in colorectal cancer using advanced machine learning approaches.

Volunteered with GDG Accra in 2022–2023, supporting the planning and execution of community-driven developer programs and large-scale technical events. Served as a Co-organizer for GDG Accra DevFest 2024, contributing to event coordination, logistics planning, and community engagement.

Supported undergraduate teaching and tutoring in courses including Sample Survey Methods, Theory of Sampling, Economic and Social Statistics, Official Statistics, Data Mining, Statistical Computing, and Design of Experiments. Assisted with graduate-level instruction in Research Methods at the Centre for Climate Change and Sustainability Studies.

Assisted in the delivery of undergraduate courses including Introduction to Statistics and Probability I, Data Mining, Introduction to Statistical Computing, and Operations Research. Organized and facilitated tutorial sessions to reinforce theoretical concepts and practical problem-solving skills.

Conducted door-to-door household surveys across multiple communities in the Nkoranza South Municipal District of the Bono East Region of Ghana, collecting primary data on respondents' livelihoods, socioeconomic conditions, and access to resources. Engaged with diverse populations using culturally sensitive and ethical research practices.

Designed and implemented data-driven SEO and digital media strategies, including keyword research and performance analysis, to improve content visibility and audience engagement. Developed analytical dashboards to track key performance indicators (KPIs), translating digital analytics into actionable insights for project optimization.

Organized and delivered hands-on workshops on Machine Learning, Data Science, and Google Cloud technologies, reaching over 150 students across multiple sessions. Mentored peers on applied ML projects, hackathons, and technical career pathways.

Designed and implemented field-based market and social research studies, including structured survey administration and in-depth qualitative data collection, to generate high-quality evidence supporting client-driven policy and business decisions. Transcribed, coded, and analysed focus group discussions and key informant interviews.

MSc. Applied Statistics program currently in progress.

MSc. Statistical Science (Research) with a focus on comparative evaluation of hybrid feature selection methods for predicting microsatellite instability in colorectal cancer.

BSc. Mathematical Science with a Statistics major. Project focused on assessing the prevalence of mental health illness in the Greater Accra Region and identifying contributory factors.