| Location | Ibadan, Oyo State, Nigeria |
| Office | Shop 23 & 24 SAF Shopping Complex, Obokun, Eleyele, Ibadan |
| Company | Lufemos Consult |
| Degree | MSc Statistics, University of Ibadan |
| Award | Best Project Award, 2020 |
| Publications | 4 peer-reviewed papers |
| Phone | +234 706 838 3770 |
| adelekeakinrinade1@gmail.com | |
| GitHub | github.com/kmexa |
| linkedin.com/in/Akinrinade |
Professional Biography
Adeleke Akinrinade Kayode (professionally known as Kmex) is a Senior Data Scientist, Machine Learning Engineer, and Statistical Researcher with 8+ years of end-to-end experience transforming complex data into high-impact decisions across healthcare, finance, and AI training domains. He operates through Lufemos Consult, an independent data science and statistical consulting firm based in Ibadan, Nigeria.
He holds a Master of Science in Statistics from the University of Ibadan, where he graduated with the Best Project Award for his dissertation on discrete choice experiments for healthcare resource allocation. He holds a Bachelor of Science in Statistics (Second Class Honours, Upper Division) from the University of Ilorin. He is eligible and actively pursuing PhD applications in Statistics and Applied Mathematics at leading US universities for the Fall 2026 cycle.
He brings dual fluency in rigorous statistical theory and production ML engineering. His statistical expertise spans Bayesian hierarchical modelling (MCMC, Stan, WinBUGS/JAGS), causal inference, survival analysis, discrete choice modelling, and time series analysis. His engineering capability covers the full ML stack: from data ingestion and feature engineering through model training (XGBoost, LightGBM, Random Forest, TensorFlow, PyTorch), hyperparameter optimisation, deployment, and continuous monitoring under CI/CD standards.
He is currently contracted to Technocolabs Softwares as Senior Data Scientist on TreasuryIQ, a production-grade NBFC liquidity risk and AI-driven ALM intelligence platform. He maintains active freelance profiles on Upwork and Turing, where he has delivered 20+ end-to-end data science and ML projects for clients across finance, healthcare, and environmental science. He is also a volunteer Statistical Data Analyst at the Centre for Citizens with Disabilities, Nigeria.
He is a former university lecturer, having taught applied biostatistics and research methods at the University of Medical Sciences (UNIMED) and data science at MOA Professional Institute (City and Guilds of London). He has co-authored 4 peer-reviewed publications in indexed international journals and holds 5 professional certifications from Johns Hopkins University and IBM via Coursera (2025).