Citibank, N.a.

David Anandaraj Arulraj

Girish Wali

Deepali Tuteja

Presented herein are systems and methods for aggregating data from disparate sources to output information. A computing system may transform a first plurality of datasets of a plurality of data sources by converting a first format of the corresponding data source for each of the first plurality of datasets to generate a second plurality of datasets in a second format of the computing system. The computing system may identify, from the second plurality of datasets, a subset of datasets using a feature selected for evaluation of a utility of the feature. The computing system may apply a machine learning model configured for the selected feature to the subset of datasets to generate an output that measures a likelihood of usefulness. The computing system may cause a visualization of the output for the feature to be displayed for presentation on a dashboard interface based on a template configured for the feature.

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Mason, OH, United States of America

David Anandaraj Arulraj