In today’s data-driven world, a new generation of Nigerian professionals is pioneering transformative change across global inindustries. IBRAHIM ADAM writes that these leaders are not just crunching numbers — they’re shaping the future with intelligent systems, ethical AI, and scalable innovation. Among them are Vwakpor Efuetanu, Chidera Okafor, Bayo Adekanmbi, Dr. Chinasa T. Okolo and Ebuka Obi.
Vwakpor Efuetanu
Vwakpor Efuetanu is an educator, innovator, and CEO of Elite Global AI, a platform dedicated to democratizing AI knowledge across underserved regions of Africa. A passionate technologist and social entrepreneur, Efuetanu’s mission is rooted in empowerment—enabling young Africans to participate in the digital economy as builders, not just consumers.
Through Elite Global AI, he has launched pan-African AI education initiatives in over ten countries, building local capacities and driving digital inclusion. His team has trained over 30,000 learners in practical AI tools, including natural language processing, computer vision, and data analytics. He aims to equip one million learners by 2030.
Efuetanu’s journey spans grassroots organising, corporate partnerships, and international advocacy. His AI education programs often integrate real-world challenges—such as using AI for flood detection, health diagnostics, and energy forecasting—making learning tangible and directly impactful. He has partnered with universities, NGOs, and edtech companies to deploy hybrid learning systems tailored to African contexts.
With a background in renewable energy engineering and a deep commitment to sustainability, Efuetanu envisions a continent where clean tech and AI go hand-in-hand. He is also a mentor to early-stage tech founders and frequently speaks at global forums on the intersection of education, innovation, and youth development.
Chidera Okafor
Chidera Okafor made significant contributions at Meta (formerly Facebook), where she led integrity data analytics initiatives during high-stakes periods such as the 2020 U.S. elections. There, she designed frameworks and controls that protected civic institutions on social platforms, safeguarded operational workflows, and partnered with cross-functional teams to establish data-driven KPIs and OKRs, improving operational alignment and integrity.
Her work across top-tier institutions like Amazon, Meta, Deloitte, and JP Morgan reflects the power of data when wielded with precision, purpose, and vision.
She has years of experience transforming data into strategic assets across logistics, e-commerce, finance, and technology sectors. With a dual background in Economics and Data Analytics from the University of Delaware and Rutgers University, Okafor blends business acumen with advanced technical capabilities to drive operational excellence, data-informed decision-making, and enterprise-wide innovation.
Currently a Senior Business Intelligence Engineer at Amazon, Okafor designs and implements scalable analytics and automation solutions that optimise North America’s transportation networks, delivering millions in operational savings while improving planning accuracy and efficiency. Her work in logistics optimisation, real-time analytics, and AI-driven decision intelligence exemplifies her commitment to solving complex operational challenges with clarity, creativity, and precision.
Her consulting tenure at Deloitte further honed her expertise in data strategy, financial analytics, and client-facing project leadership, developing bespoke analytics solutions for Fortune 500 companies in finance, healthcare, and automotive sectors. Across roles at JP Morgan Chase, Morgan Stanley, and Deloitte’s Forensic Analytics practice, Okafor cultivated a versatile foundation in credit risk analytics, fraud investigation, financial operations, and regulatory compliance.
A passionate advocate for human-centered and responsible AI, Okafor’s interests extend to explainable AI, ethics in algorithmic decision-making, and data governance frameworks that ensure transparency, fairness, and operational trust. Her certifications in machine learning, generative AI, and emergency management reflect a commitment to continuous learning and driving meaningful impact across interdisciplinary collaboration – and underscore her broader mission to drive meaningful impact across industries and sectors globally.
An active member of professional communities such as Women in Data, the Institute of Analytics, and the Association of Data Scientists, Okafor leverages her platform to mentor emerging analytics professionals and contribute to the evolving dialogue around AI’s role in business and society.
Bayo Adekanmbi
Dr. Bayo Adekanmbi is a trailblazer in Africa’s data revolution, whose work has redefined how a nation builds talent for the Fourth Industrial Revolution. As the founder of Data Science Nigeria (DSN), he has led a grassroots-to-global movement to train the next generation of data scientists, engineers, and AI practitioners.
A data scientist, business executive, and policy advocate, Adekanmbi previously served as Chief Transformation Officer and Chief Marketing and Strategy Officer at MTN Nigeria, where he pioneered data-led customer intelligence models and digital growth strategies. His tenure in the telecom industry equipped him with firsthand experience of how data can unlock business value and improve service delivery at scale.
Under his leadership, DSN has trained over 500,000 Nigerians through bootcamps, MOOCs, competitions, and community meetups. The initiative has established AI research hubs in multiple Nigerian cities and has deployed real-world projects in sectors like healthcare (predictive disease modeling), education (AI tutors), and agriculture (price forecasting).
Adekanmbi is a firm believer in “AI for good” and has championed policies that promote ethical, inclusive, and locally relevant AI innovation. He holds advanced degrees from Obafemi Awolowo University, the University of Reading, and MIT, and is a fellow of the Cambridge Centre for Alternative Finance. His thought leadership has earned him recognition as one of the key voices shaping Africa’s AI policy, education, and innovation future.
Dr. Chinasa T. Okolo
Dr. Chinasa T. Okolo is a Nigerian-American computer scientist whose work bridges academia, public policy, and global tech governance. Currently a fellow at the Brookings Institution, she is at the forefront of shaping how AI is governed in Africa and beyond.
Okolo’s research spans algorithmic bias, data privacy, digital colonialism, and AI policy frameworks tailored for the Global South. She has contributed to pivotal reports such as the African Union’s AI policy roadmap and Nigeria’s National Artificial Intelligence Strategy. Her advocacy calls for inclusive governance models that reflect Africa’s sociocultural realities and address power imbalances in global tech systems.
Her academic foundation from Pomona College and current research at Cornell are complemented by advisory roles at the OECD, UNESCO, and Mozilla Foundation. Okolo is a fierce proponent of community-centered design and emphasizes participatory approaches in the deployment of AI technologies.
Her work is not only theoretical; she has engaged with government stakeholders, technologists, and civil society groups to co-create ethical guidelines for facial recognition, public surveillance, and algorithmic accountability. As a public speaker, Okolo has presented at forums including RightsCon, NeurIPS, and the Internet Governance Forum, influencing discourse at the highest levels.
Ebuka Obi
Ebuka Obi is the founder and CEO of Autogon AI, a Nigerian startup revolutionising Africa’s vehicle diagnostics ecosystem with smart, AI-powered technologies. His company is developing predictive maintenance tools that empower drivers and mechanics to detect and resolve car issues before they escalate—saving costs, enhancing road safety, and reducing environmental impact.
A graduate of the University of Nigeria, Nsukka, Obi has always been driven by a desire to solve local problems using homegrown innovation. He launched Autogon AI after identifying gaps in how automobile diagnostics were performed in Nigeria. By integrating machine learning models with IoT-enabled devices, the startup now offers real-time vehicle insights for both private users and fleet managers.
Obi’s solutions are particularly relevant in a continent where aging vehicles, poor maintenance culture, and limited access to advanced diagnostics tools pose major challenges. His work empowers informal sector technicians with affordable, portable tools that use AI to read and interpret error codes and system anomalies.
Beyond Autogon, Obi mentors young tech founders and contributes to Nigeria’s growing AI and mobility ecosystems. He is a frequent speaker at hackathons, innovation hubs, and university campuses, advocating for a future where local problems are tackled by local engineers equipped with global tools.
Last word
Together, these five visionaries exemplify how Nigerians are not only adapting to the digital age but actively shaping it. Their work—from logistics optimisation to ethical AI frameworks—proves that when guided by purpose, data becomes more than a tool; it becomes a catalyst for transformation.
