Kelechi Amamba is working at a time defined by automation and fast digital adoption, where system disruptions continue to affect business continuity and public confidence. For him, these disruptions reveal gaps that can be addressed through stronger structures and better planning.
Amamba, a Nigerian specialist in supply chain resilience, data analytics, and financial systems, describes reliability as a central principle. “Reliability is not a feature,” he said. “It is a promise to every consumer.”
His journey from West African manufacturing lines to U.S. research laboratories reflects a consistent mission: designing systems that anticipate disruptions, adapt swiftly, and sustain trust across industries.
During his time at Procter & Gamble, Beiersdorf, and Upfield, Amamba created processes that supported the steady flow of goods across West Africa during economic swings and global supply chain breakdowns. His input helped move several plants from struggling operations to stable centres of production and workplace safety.
“When systems fail, lives are disrupted,” he said. “Whether it’s a factory in Lagos or a payment terminal in Ohio, the impact is human before it is financial.”
Now in the United States, Amamba continues to merge operations discipline with modern data tools. At Kent State University, he is working on one of the fastest-growing risks in the digital economy — credit card fraud. In partnership with the Ohio Supercomputer Center (OSC), he developed machine learning models that lower false alerts while improving detection accuracy and response time.
His study, “Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 Algorithms,” was presented at the 2025 OSC Research Symposium. The Ohio Technology Consortium (OH-TECH) later featured the work as a case study, highlighting its relevance to fraud prevention.
Bamidele Moses Amao, former Regional General Manager at Upfield West & Central Africa, responded to the research, saying, “This is a brilliant application of machine learning that turns a universal consumer frustration into a solvable problem. This is exactly the kind of innovative research that will define the future of financial security.”
Commenting on the outcome, Dewank Mahajan, a Data Scientist in financial fraud and risk, noted, “Too often fraud tools focus only on blocking risk, but the real win is when security enhances the customer journey instead of disrupting it.”
The immediate Past Section Chair of IEEE Nigeria, Oyewole John Funso-Adebayo, also recognised Amamba’s work. “What makes Kelechi’s work exceptional is how he connects the dots between supply chains and financial systems,” he said. “He understands that trust and efficiency follow the same principles.”
Amamba’s work now cuts across manufacturing, biotech, and financial platforms. He uses predictive modelling and advanced analytics to help institutions strengthen reliability, reduce cost, and respond faster to disruption.
His current focus is on building AI-driven systems that support critical operations across multiple sectors. From Lagos to Ohio, his progress signals Nigeria’s growing role in shaping conversations on system trust and operational strength.
