Lagos, Lagos State, Nigeria
Summary
Led the development and optimization of machine learning models for financial datasets, focusing on improving predictive accuracy and operational efficiency.
Highlights
Developed and optimized a classification model to predict dormant accounts in a financial dataset, achieving 97% recall and 97% precision, which resulted in a 25% increase in profit by enabling targeted reactivation strategies and reducing resource wastage.
Leveraged advanced feature engineering and hyperparameter tuning techniques to significantly enhance model accuracy on an imbalanced dataset, achieving a 30% reduction in manual account review processes through automated predictions.