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Adekanmbi Olubayo

Olubayo (Bayo) is driven by a vision to build an AI-first society where Artificial Intelligence is effectively deployed to solve local problems, particularly the sustainable millennial goals. He believes that AI will provide a springboard for Africa’s development by enhancing how we live, work and play.


He believes that Nigeria’s population of 200million with median age of about 18 years is a huge strategic advantage that can position Nigeria as one of the top 10 AI Knowledge centres in the world, especially the opportunity to raise 1 million AI talents in 10 years with globally relevant skills that can drive increased employability, FOREX inflow, AI-enabled start-ups and enhancement of the general quality of life through solution-oriented AI applications in Health, Agriculture, Financial Inclusion, Smart City etc.


He is a leading expert in Data Science, Advanced Analytics, Business Transformation, Marketing and Strategy, with 19 years of cognate industry experience from two largest economies in Africa (Nigeria &South Africa).

Profile Summary

Industry-level Advanced Analytics and Data Science practitioner

  • Previously served as General Manager Business Intelligence and Chief Marketing/Strategy Officer.
  • Currently serving Chief Transformation Officer, MTN Nigeria
  • Awarded the prestigious MTN Yello Star award for the conceptualisation of a Customer Value/Risk Management framework, which led to multi-billion naira revenue growth.
  • Developed many operational analytical models for industry applications

Practising Data Scientist and active on the world’s No 1 platform –Kaggle

  • Kaggle Competition Bronze
  • No 1 on the Data Science Dojo In-class Capstone project Leaderboard
  • Top 1% amongst the over 11,000 data scientists competing on the Kaggle Titanic Machine learning survival model

Patent owner (United States Patent Office final approval stage) for a Data Science product

  • Social Pricing Recommender algorithm for low income prepaid telecommunication users using uncalled-called numbers modelling (US62400186)

Doctoral-level scholar – combined PhD programme at the University of London (CityU) and TIAS Business School, the Netherlands.

  • Research work on application of Data science algorithm to understand the effect of customer social networks on consumption behaviour in luxury and telecoms industry.

Community Builder, Pan-African mentor and Knowledge leader

  • Advisory Board member, insight2impact (i2i) – a global resource centre that seeks to improve financial inclusion through the smarter use of data.
  • Winner – MIPAD – Most Influential People of Africa Descent (Class of 2018)
  • Chairman, Data and Advanced Analytics workstream of the Nigeria Economic Summit Group (NESG)
  • Participant, Network of Excellence in Artificial Intelligence for Development (AI4D) in sub-Saharan Africa
  • Part-time academic mentor/supervisor

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