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2. Domain knowledge - Wikipedia

   en.wikipedia.org/wiki/Domain_knowledge

   Domain knowledge is knowledge of a specific discipline or field in contrast to general (or domain-independent) knowledge. [1] The term is often used in reference to a more general discipline—for example, in describing a software engineer who has general knowledge of computer programming as well as domain knowledge about developing programs for a particular industry.

3. T-shaped skills - Wikipedia

   en.wikipedia.org/wiki/T-shaped_skills

   The concept of T-shaped skills, or T-shaped persons is a metaphor used in job recruitment to describe the abilities of persons in the workforce.The vertical bar on the letter T represents the depth of related skills and expertise in a single field, whereas the horizontal bar is the ability to collaborate across disciplines with experts in other areas and to apply knowledge in areas of ...

4. Subject-matter expert - Wikipedia

   en.wikipedia.org/wiki/Subject-matter_expert

   A domain expert is frequently used in expert systems software development, and there the term always refers to the domain other than the software domain. A domain expert is a person with special knowledge or skills in a particular area of endeavour [ 8 ] (e.g. an accountant is an expert in the domain of accountancy ).

5. I’m a Career Expert: Here’s Why You Should Put AI on Your Resume

   www.aol.com/m-career-expert-why-put-160017502.html

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6. Résumé - Wikipedia

   en.wikipedia.org/wiki/Résumé

   An example of a résumé with a common format with the name John Doe. A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same ...

7. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). [3] Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4]