Apparatus and methods for mapping user-associated data to an identifier
An apparatus and method for mapping user-associated data to an identifier. The apparatus includes a processor configured to store a plurality of user identifiers. User identifiers may be determined by way of user or by machine-learning modules or the like. Apparatus receives user-associated data from a user to be stored in a resource data storage system. User-associated data may include a plurality of data sets to be mapped to an identifier. Mapping a data set to an identifier may be user determined or use a machine-learning module. Apparatus is configured to update the immutable sequential listing associated with the data set with the mapped identifier.
1. An apparatus for mapping user-associated data to an identifier, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
store a plurality of user identifiers on an immutable sequential listing, wherein each user identifier of the plurality of user identifiers is associated with a user role;
receive, from a user, user-associated data to be stored in a resource data storage system, the user-associated data comprising a plurality of data sets;
classify each data set of the plurality of data sets of the user-associated data to a user identifier of the plurality of user identifiers using a machine-learning model, wherein each identifier represents a segment of the user-associated data and classifying the user-associated data comprises:
training the machine-learning model as a function of training data, wherein the training data correlates historical professional affiliation to at least a historical identifier; and
cryptographically linking user-associated data to the user identifier on the immutable sequential listing.
2. The apparatus of claim 1 , wherein the resource data storage system comprises a distributed data storage facility.
3. The apparatus of claim 1 , wherein the user-associated data comprises data describing a user's work history.
4. The apparatus of claim 1 , wherein the plurality of user identifiers further comprises a plurality of user determined identifiers.
5. The apparatus of claim 1 , further configured to generate the plurality of user identifiers using a classifier.
6. The apparatus of claim 1 , further configured to split the user-associated data into a plurality of data sets.
7. The apparatus of claim 1 , wherein the user identifier further comprises identifiers selected as a function of the user-associated data and a machine learning module.
8. The apparatus of claim 1 , further configured to validate the user-associated data using cryptography.
9. The apparatus of claim 1 , further configured to use a cryptographic accumulator to generate a transaction linking the user-associated data to the user identifier.
10. A method for mapping user-associated data to an identifier, the method comprising:
storing, on an immutable sequential listing, a plurality of user identifiers, wherein each user identifier of the plurality of user identifiers is associated with a user role;
receiving, from a user, user-associated data to be stored in a resource data storage system, the user-associated data comprising a plurality of data sets;
classifying each data set of the plurality of data sets of the user-associated data to a user identifier of the plurality of user identifiers using a machine-learning model, wherein each identifier represents a segment of the user-associated data and classifying the user-associated data comprises:
training the machine-learning model as a function of training data, wherein the training data correlates historical professional affiliation to at least a historical identifier; and
cryptographically linking user-associated data to the user identifier on the immutable sequential listing.
11. The method of claim 10 , wherein the resource data storage system comprises a distributed data storage facility.
12. The method of claim 10 , wherein the user-associated data comprises data describing a user's work history.
13. The method of claim 10 , wherein the plurality of user identifiers further comprises a plurality of user determined identifiers.
14. The method of claim 10 , further configured to generate the plurality of user identifiers using a classifier.
15. The method of claim 10 , further configured to split the user-associated data into a plurality of data sets.
16. The method of claim 10 , wherein the user identifier further comprises identifiers selected as a function of the user-associated data and a machine learning module.
17. The method of claim 10 , further configured to validate the user-associated data using cryptography.
18. The method of claim 10 , further configured to use a cryptographic accumulator to generate a transaction linking the user-associated data to the user identifier.