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Feature engineering, model comparison and grouped validation—with a careful look at what the data can support.
I’m Hyginus Echezona Okonkwo.
My work brings together clinical exercise physiology, health research and data science—with people at the centre.
Human physiology
+Pharmacology
+Clinical exercise physiology
Feature engineering, model comparison and grouped validation—with a careful look at what the data can support.

An interactive view of global progress, income-group differences and country coverage.
Validating patient and lesion records before exploring diagnosis and demographic patterns.
Good analysis begins with understanding what a measurement means—and what it leaves out.
My background spans cardiac diagnostics, an NHS clinical placement, experimental pharmacology and evidence synthesis. I now apply that perspective to practical work in SQL, Python and data visualisation.
Co-author of three peer-reviewed papers, with postgraduate work in pharmacology and a systematic review and meta-analysis of aerobic exercise after kidney transplantation.
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