Data-Driven Candidate Screening and Talent Acquisition in IT Recruitment: A Study of Onelab Ventures, Pune

Author

Vaishnavi Sachin Pandharpurkar

Abstract

 Specialised technology professionals are in high demand. IT organisations need effective talent acquisition to survive in a competitive market. Recruiters hunt for candidates with the right technical skills, education, experience and availability. 

Onelab Ventures in Pune became the subject of this study. An MBA On-the-Job Training project ran from April to June 2026. Research focused on how they source and screen candidates. Recruitment records and field observations provided the data.

111 candidate records were examined. Only 46 had numerical test scores. Average score was 37.91. Out of those 46, 44 scored below 75. Structured screening matters. Clear eligibility criteria matter. Systematic data management matters too. Combining measurable assessment with human judgement works best. That's what improves recruitment quality and consistency.

Keywords

Talent Acquisition, IT Recruitment, Candidate Screening, Recruitment Analytics, Human Resource Management, Onelab Ventures

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References

Albert, E. T. (2019). AI in talent acquisition: A review of AI-applications used in recruitment and selection. Strategic HR Review, 18(5), 215–221.

Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258.

Pandharpurkar, V. S. (2026). A study on end-to-end recruitment processes and talent acquisition strategies at Onelab Ventures [MBA On-the-Job Training report]. School of Business, Indira University, Pune.

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