I performed a comprehensive empirical analysis on a dataset of 5,000 fresher job applications across India — covering 68 companies, 56 colleges, 14 sectors, 30 job roles, and four application years (2021–2024).
Dataset Overview
- 5,000 candidates with 30 attributes each (academics, skills, hiring stage outcomes, salary offers).
- 622 offers made (12.4% offer conversion rate), analyzing factors that drive actual hiring success.
Visual Insights
Demographic and academic breakdown across gender, age distribution, and top academic institutions.
The hiring funnel: Applied (1,434) → Shortlisted (872) → Online Assessment (717) → Technical Interview (493) → HR Interview (329) → Offer (622).
Key finding: CGPA correlation with salary offer is near-zero (-0.087). CGPA serves as an initial screening filter, but does not dictate higher compensation once past the threshold.
Offer rates across internships, backlogs, certifications, and referrals hover within ±2% of the baseline 12.4%. Hiring is multi-factorial rather than dependent on any single variable.
Methodology
Data processing, statistical analysis, and 15 programmatic visualizations were built using Python, Pandas, Matplotlib, and Seaborn.