In some implementations, a device may obtain first data associated with one or more accounts. The device may process the first data to obtain clustering information associated with the first data. The device may cluster the first data into one or more clusters based on the clustering information. The device may identify, via a second machine learning model, one or more deviation patterns associated with a portion of the first data that is included in a cluster of the one or more clusters. The device may determine, for the cluster, one or more operations to be performed to mitigate deviations based on the one or more deviation patterns. The device may perform an action, that is based on the one or more operations, associated with second data grouped into the cluster.