Callistus Obunadike

An Explainable XGBoost Framework for Detecting Fraudulent Financial Transactions

Oluwatosin Lawal, Alumona Paschal, Awele Okolie, Callistus Obunadike, Mark Onons Ikhifa & Samson Ikechukwu Edozie · Journal of Scientific Research and Reports · 2025

Detecting financial fraud is still one of the most urgent concerns in digital finance, thanks to the highly imbalanced and even changing nature of transactions. The new research introduces an explainable machine learning framework that leverages the eXtreme Gradient Boosting (XGB...

Open access Research Article 10.9734/jsrr/2025/v31i123769

Analysing the Impact of Natural Disasters, Pandemics and Other Crisis on Employment and Workforce Dynamics

Abdul-waliyyu Bello, Tochukwu Njoku, Idris Wonuola, Callistus Obunadike, Olumuyiwa Idowu, Esther Ajadi, Aderonke Adebisi, Ebiere Aroks & Adesola Adeyeri · Journal of Scientific Research and Reports · 2024

This study investigates the impact of recent crises such as natural disasters and pandemics on employment and workforce dynamics using a Random Forest machine learning model. The data was collected through a detailed questionnaire analyzing various factors, including demographic...

Open access Research Article 10.9734/jsrr/2024/v30i112567