Computer-based systems configured for automatically updating a database based on an initiation of a dynamic machine-learning verification and methods of use thereof

A method, comprising:

• inputting, by at least one processor, a first data record into a database;
• performing, by the at least one processor executing at least one machine learning algorithm, a cross-reference analysis between the first data record and each of a plurality of data records stored in the database;
• and
• removing, by the at least one processor, a second data record from the plurality of data records in the database, the first and second data records sharing at least one user-specific indicative marker, the at least one user-specific indicative marker being identified by the cross-reference analysis.

A system, comprising:

• at least one transitory memory storing computer code;
• and
• at least one processor,
• wherein the at least one processor is configured to execute the computer code that causes the at least one processor to:
• input a first data record into a database;
• perform, by executing at least one machine learning algorithm, a cross-reference analysis between the first data record and each of a plurality of data records stored in the database;
• and
• remove a second data record from the plurality of data records in the database, the first and second data records sharing at least one user-specific indicative marker, the at least one user-specific indicative marker being identified by the cross-reference analysis.

A method, comprising:

• receiving, by at least one processor, a first data record from an external aggregator of a third party collecting data associated with at least one type of data comprising telecommunication data, audio data, visual data, digital data, usage data, or any combination thereof;
• inputting, by the at least one processor, the first data record into a database;
• performing, by the at least one processor executing at least one machine learning algorithm, a cross-reference analysis between the first data record and each of a plurality of data records stored in the database;
• and
• removing, by the at least one processor, a second data record from the plurality of data records in the database, the first and second data records sharing at least one user-specific indicative marker, the at least one user-specific indicative marker being identified by the cross-reference analysis.