Career Analytics Platform

A system comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium having stored thereon instructions that, when executed by the processor, cause the processor to perform operations comprising:
• receiving a document that represents a career profile of a candidate using text arranged in accordance with a presentation structure;
• parsing the document to identify a parameter value for a parameter of the career profile, wherein the parameter value is indicative of an extent to which the document exhibits the parameter;
• determining other candidates that are similar to the candidate based on a profile vector representing one or more attributes associated with the career profile of the candidate and a plurality of profile vectors associated with the other candidates, wherein the profile vector and the plurality of profile vectors are generated by a machine learning model that has been trained to generate profile vectors based on training data comprising a plurality of career profiles associated with a plurality of candidates;
• determining a category score based on the parameter value and a benchmark rule, wherein the benchmark rule is based on respective parameter values of the other candidates that are similar to the candidate, and wherein the category score corresponds to a category that comprises the parameter;
• providing, by way of a user interface, feedback on the career profile in accordance with the category score, wherein the feedback comprises (i) a suggested modification to the document and (ii) a plurality of candidate-specific samples for executing the suggested modification, wherein each respective candidate-specific sample of the plurality of candidate-specific samples is determined to increase the category score when added into the document;
• and
• based on providing the feedback, receiving, by way of the user interface, a selection of at least one sample of the plurality of candidate-specific samples for addition into the document.

A non-transitory computer-readable storage medium having stored thereon instructions that, when executed by a computing device, cause the computing device to perform operations comprising:

• receiving a document that represents a career profile of a candidate using text arranged in accordance with a presentation structure;
• parsing the document to identify a parameter value for a parameter of the career profile, wherein the parameter value is indicative of an extent to which the document exhibits the parameter;
• determining other candidates that are similar to the candidate based on a profile vector representing one or more attributes associated with the career profile of the candidate and a plurality of profile vectors associated with the other candidates, wherein the profile vector and the plurality of profile vectors are generated by a machine learning model that has been trained to generate profile vectors based on training data comprising a plurality of career profiles associated with a plurality of candidates;
• determining a category score based on the parameter value and a benchmark rule, wherein the benchmark rule is based on respective parameter values of the other candidates that are similar to the candidate, and wherein the category score corresponds to a category that comprises the parameter;
• providing, by way of a user interface, feedback on the career profile in accordance with the category score, wherein the feedback comprises (i) a suggested modification to the document and (ii) a plurality of candidate-specific samples for executing the suggested modification, wherein each respective candidate-specific sample of the plurality of candidate-specific samples is determined to increase the category score when added into the document;
• and
• based on providing the feedback, receiving, by way of the user interface, a selection of at least one sample of the plurality of candidate-specific samples for addition into the document.