Publications by authors named "Roshan Jameel"
Article Synopsis
- - The study emphasizes the importance of retaining existing customers over acquiring new ones, focusing on predicting customer churn using machine learning algorithms to enhance retention strategies.
- - It introduces a Ratio-based data balancing technique to effectively handle skewed customer churn data, significantly improving the accuracy of various predictive models, including ensemble algorithms like Gradient Boosting and XGBoost.
- - Results from testing several algorithms on balanced datasets show that the proposed method outperforms traditional data resampling techniques, with the best outcomes when using XGBoost in a 75:25 ratio setting, showcasing its effectiveness in predicting customer churn.
The COVID-19 pandemic has caused substantial global disturbance by affecting more than 42 million people (as of the end of October 2020). Since there is no medication or vaccine available, the only way to combat it is to minimize transmission. Digital contact tracing is an effective technique that can be utilized for this purpose, as it eliminates the manual contact tracing process and could help in identifying and isolating affected people.
View Article and Find Full Text PDFThe healthcare data is an important asset and rich source of healthcare intellect. Medical databases, if created properly, will be large, complex, heterogeneous and time varying. The main challenge nowadays is to store and process this data efficiently so that it can benefit humans.
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