Africa’s Tech Future: Daniel Oyeduntan Leads the Charge

Stories by Mary Nnah

Daniel Oyeduntan, a seasoned professional with about a decade of experience in data science and machine learning, is capturing the attention of the technology industry across EMEA.
Commencing his career as a Data Analyst at Linkage Assurance Plc in Nigeria, Daniel quickly distinguished himself by spearheading data analysis and insights extraction projects.

His innovative approach to automating reporting processes led to a 37% revenue increase in 2021, showcasing his ability to drive tangible business outcomes.
His time at Linkage Assurance Plc served as a springboard to his impactful career in Data Science.

Upon moving to Mastercard, the second-largest payment-technology corporation worldwide, he assumed the role of Senior Data Scientist. There, he developed data-driven products/features, achieving over 75% adoption rates within the first quarter of launch. Additionally, he led the deployment of an ML model that increased click-through rates by 20% and boosted sales revenues by 45%.
Transitioning to Kuda Bank in London as a Senior Data Analyst, Oyeduntan continued to excel, focusing on enhancing customer experience metrics through cutting-edge machine learning models. His contributions to automating CX processes resulted in a 13% improvement in operations TAT and played a pivotal role in the successful development of the V2 app, which garnered over 17,000 downloads and a four-star rating.
Currently, as the Director of Data Science and AI at Unyte London, Oyeduntan’s leadership in AI-driven predictive modelling has revolutionized risk assessment and insurance optimisation. His achievements include crafting an AI-powered chatbot for enhanced customer interactions and leading data-driven initiatives that secured Unyte’s admission to the prestigious Tech Nation Libra Program UK.
Commenting on his impact and achievements at Unyte, Oyeduntan highlighted, “Being able to pioneer transformative AI initiatives at Unyte has been a rewarding experience. I am passionate about harnessing data to drive meaningful change and innovation in the insurance sector. It’s not just about optimizing processes; it’s about fundamentally reshaping how we understand risk, engage with customers, and deliver value. Through our AI-driven approaches, we’ve been able to uncover insights that were previously unseen, leading to more tailored products, improved customer experiences, and ultimately, a stronger, more resilient insurance ecosystem. Looking ahead, I’m excited to continue pushing the boundaries of what’s possible and collaborating to drive even greater impact in our industry.”
Speaking further on his expertise and impact in the data science industry, Fortunate Anozie, Chief Executive Officer, Unyte Limited stated, “Daniel Oyeduntan’s expertise in data science is unparalleled. His ability to blend advanced analytics with strategic insights has set new benchmarks in the industry, making him a true visionary in the field. His innovative approaches to problem-solving and his knack for uncovering actionable insights from complex datasets have earned him widespread recognition and acclaim. Daniel’s passion for data science is evident in every project he undertakes, as he continuously pushes the boundaries of what is possible in the realm of data-driven decision-making. His dedication to advancing the field and his commitment to excellence make him a highly sought-after leader and collaborator in the industry.”
With a Master’s degree in data science from the University of Hertfordshire and a Bachelor’s degree in Mathematics & Statistics from the University of Lagos, Daniel combines academic rigour with practical expertise, making him a sought-after expert in the field.
Going beyond his professional journey, Daniel passionately advocates for data science and tech proficiency in Africa. He actively mentors aspiring individuals and imparts valuable knowledge to the next generation through his engagement with learning institutions such as Utiva and Stellar Academy.
Oyeduntan’s commitment to innovation, coupled with his extensive experience and academic background, positions him as a frontrunner in the data science landscape. As he continues to make significant strides in the industry, his impact lingers across borders, shaping the future of AI and machine learning.