Resume screening

1. RESUME SCREENING- APPLICANT TRACKING SYSTEM
PRESENTED BY: UTTAM RAJ

2. DESCRIPTION
Screening resumes is an important part of the selection process.
There are many aspects to consider when screening resumes,
such as the appearance and organization of the resume as well
as the job responsibilities listed. When using applicant tracking
systems to screen resumes, recruiters can filter by keywords
relevant to the job description, which allow them to narrow down
a large pool of candidates to a more manageable set of resumes
that will be read in more detail.
The keywords selected are derived from the required skills and
responsibilities listed in the job description. To minimize the
number of desirable candidates dropped in this first step,
recruiters can use synonyms and closely related terms in
addition to the keywords selected.

3. OBJECTIVE
Resume screening is the process of sorting resumes to
qualify and disqualify the candidates using successively
more detailed examinations of the resumes.

4. SCOPES
Today's online recruiting environment has led to the rise of
applicant tracking systems (ATS), which companies use to collect,
sort through, and manage high volumes of applications.

6. REVIEWING INDIVIDUALRESUMES
• Job relevance- Compare the job description and qualifications desired for the
vacant position against the applicant’s resume, noting the similarities with the
person’s past positions and responsibilities.
• Picture the position- Spot how each candidate can fit in the desired position.
E.g. what candidate is currently working, culture of the organization, and
general work setting.
• Do not draw conclusions- Resumes can be misleading. E.g. if candidate
attended an university does not mean that they actually graduated, unless award
of a degree is clearly stated .
• Watch for misleading information– e.g. a candidate who does not list dates of
employment may be trying to conceal a period of unemployment. Likewise, an
applicant who focuses too much on hobbies and not enough on job
responsibilities may be trying to compensate for an insufficient amount of work
experience or lack of professional preparation.
• Ignore any discriminatory information.
• Sources should be reasonable and impartial– Should not fall for appearance of
the resume, hobbies of the candidate, or organizational affiliations.

7. PLATFORMTO BE USED.
• Python (Spyder 3)
• Anaconda 3
• Machine Learning

8. LINE OF ACTION
import PyPDF2
pdfFileObj = open('resume.pdf', 'rb')
pdfReader = PyPDF2.PdfFileReader(pdfFileObj)
print(pdfReader.numPages)
pageObj = pdfReader.getPage(0)
print(pageObj.extractText())
pdfFileObj.close()

10. REFERENCES
GeeksforGeeks:
PyPDF2: https://www.geeksforgeeks.org/working-with-pdf-files-in-python/
Slideshare: https://www.slideshare.net/somil_sc/resume-screening?from_action=save
CVVIZ: https://cvviz.com/resume-screening-guide/
Packt Publishing, ‘Learning Python Data Analysis’ by Udemy
Wikipedia:
Bag of words: https://en.wikipedia.org/wiki/Bag-of-words_model