Systems and methods for determining correlations between a plurality of dissimilar data sets

A method for determining a plurality of matches between a plurality of different data sets, the method comprising:

• obtaining a first data set;
• pre-processing the first data set to convert the first data set to a standard format associated with a plurality of attributes;
• determining a plurality of subsets corresponding to a second data set based on the plurality of attributes corresponding to the first data set;
• determining a plurality of sets of fit scores each associated with one of the plurality of subsets for the first data set;
• determining, via an integer optimization model, a plurality of matches from the plurality of subsets based on the plurality of sets of fit scores;
• and
• displaying, on a graphical user interface (GUI), a list of the plurality of matches.

A method for training a model to determine a plurality of matches between a plurality of dissimilar data sets, the method comprising:

• obtaining a first data set and a second data set different than the first data set;
• pre-processing the first data set to convert the first data set to a standard format associated with a plurality of attributes;
• marking-up the first data set and the second data set;
• selecting matches between the first data set and the second data based on the marked-up first data set and marked-up second data set to generate a third data set;
• training a machine learning model with the first data set, the second data set, and the third data set;
• and
• in response to a trained machine learning model exceeding a testing threshold, transmitting the trained machine learning model to a computing device for use in matching dissimilar data sets.