Data aggregation platform for ingesting, partitioning, and retrieving electronic information

Non-transitory computer readable storage medium storing instructions for execution by one or more processors, the instructions comprising:

• ingesting a file from a data source;
• identifying an aggregated data package to receive the file based on one or more of an identity of the data source or whether the data source provided the file in response to a digital data request;
• storing the file in a data shoebox associated with the aggregated data package, wherein the data shoebox receives unclassified data;
• causing a neural network to classify the file based on content of the file;
• moving the file from the data shoebox to an identified data bucket within the aggregated data package based on a file classification output by the neural network;
• generating an application based on information associated with the aggregated data package;
• and
• calculating a primary dynamic score for the application, wherein the primary dynamic score comprises an indication of at least one threshold.

A method comprising:

• ingesting a file from a data source;
• identifying an aggregated data package to receive the file based on one or more of an identity of the data source or whether the data source provided the file in response to a digital data request;
• storing the file in a data shoebox associated with the aggregated data package, wherein the data shoebox receives unclassified data;
• causing a neural network to classify the file based on content of the file;
• moving the file from the data shoebox to an identified data bucket within the aggregated data package based on a file classification output by the neural network;
• wherein the file comprises an unstructured file that comprises an image or a scan, and wherein the method further comprises:
• providing the unstructured file to a file analysis neural network trained to read the unstructured file and identify one or more words depicted in the unstructured file;
• receiving from the file analysis neural network an indication of the one or more words depicted in the unstructured file;
• generating one or more datapoints based on the one or more words depicted in the unstructured file;
• and
• assigning the one or more datapoints to one or more of a plurality of data buckets associated with the aggregated data package.