Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM38029

A Enhanced Process for Examining Resumes and Organizing Candidates Through Statistical Methods

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM38029

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM38029

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

RR

Ria Roy

DNS

Dr. Nadindla Srividya

Author Services & Downloads

Full Articles

Abstract

Selecting suitable applicants is an important part of the screening process in a recruitment consulting firm. In general, traditional recruiting practices are used by the majority of businesses and consulting organizations. The primary strategy is employing resume-based screening techniques to attract exceptionally skilled researchers and developers for high-tech enterprises. Typically, the organization evaluates the individual’s qualifications, professional history, employment experience, motivations, specialist abilities, and past creative projects as shown in their résumé in order to select the most suited candidate. The study sought to examine and mechanize efficient screening techniques utilized by consulting firms, emphasizing the need of ongoing research in comprehending evolving customer requirements and enhancing the screening process. Various techniques typically employ automated image analysis and heuristic methods to extract tabular bioinformatics data from resumes, with the aim of gathering pertinent information. This research employs optical character recognition (OCR) as it circumvents the inherent automotive engineering of the document and has been demonstrated to be a viable approach. Resumes in PDF format were gathered via convenience sampling and systematic random sampling, and data was then extracted from the resume documents by OCR. The pertinent data is subsequently analyzed using statistical techniques such as the Chi-square test, percentage studies, and the weighted average approach based on factors such as experience, technical/non-technical skills, employability, career advancement, salary expectations, and role/designation expectations. The proposed approach empowered the selection of the appropriate resumes for the subsequent recruitment progression.. sections. Such references are made by indicating the section number, for example, “In Sec. 2 we showed…” or “Section 2.1 contained a description….” If the word Section, Reference, Equation, or Figure starts a sentence, it is spelled out. When occurring in the middle of a sentence, these words are abbreviated Sec., Ref., Eq., and Fig. At the first occurrence of an acronym, spell it out followed by the acronym in parentheses, e.g., charge-coupled diode (CCD).

KEYWORDS

Resume screening process Optical character recognition Recruitment Chi-square test subsequently analyzed pertinent data efficient screening technique appropriate resume PDF

Cite This Article

Ria Roy, Dr. Nadindla Srividya, "A Enhanced Process for Examining Resumes and Organizing Candidates Through Statistical Methods," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024. https://doi.org/10.55041/IJSREM38029

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

10/18/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...