📊 Hiring & Interview Evaluation Analysis

🧠 Project Overview

This project analyses a real-world hiring assessment dataset where candidates are evaluated on communication skills, structured thinking, fluency, preparation, and background profile.

The objective is to understand:

What actually drives candidate selection — profile, preparation, or skill?

Instead of only visualising data, this project focuses heavily on analytical insights and then supports them using meaningful visualisations.

🎯 Business Problem

Recruiters often struggle to identify whether hiring decisions are influenced by:

• Candidate background
• Interview behaviour
• Communication ability
• Measurable performance scores

This project answers:

What separates rejected, selected, and premium candidates?

🗂️ Dataset Description

The dataset contains 18,510 candidate interview records and 30 attributes divided into the following categories:

Candidate Profile

• Age, Gender, Education
• Experience & Employment Status
• Previous Salary (CTC)
• Candidate Type (Fresher / Experienced)

Interview Behaviour

• Interview Mode
• PPT Preparation
• Willingness to Relocate
• Role Acceptance Confidence
• Prior Discussion Before Applying

Skill Evaluation Scores

Each candidate is scored on a scale (1–3) across multiple rounds:

Confidence

• Introduction
• Topic Speaking
• PPT Explanation
• Sales Scenario

Structured Thinking

• Regional Explanation
• PPT Question
• Call Pitch

Fluency

• Topic Discussion
• PPT Question
• Sales Scenario

Final Evaluation

• Confidence Score
• Structured Thinking Score
• Fluency Score
• Total Score
• Final Verdict (Reject / Borderline / Select / Premium Select)

🔍 Key Analysis Performed

The project answers 55 analytical business questions, including:

• Minimum score required for selection
• Which skill influences hiring the most
• Whether preparation improves selection chances
• Identification of elimination interview rounds
• Balanced vs specialist candidate preference
• Overqualified candidate behaviour
• Profile bias vs skill-based hiring
• Characteristics of premium candidates

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📊 Visual Analysis

Only meaningful visuals were used to support insights:

1. Score vs Hiring Decision
2. Skill Importance Correlation
3. Preparation vs Selection Rate
4. Interview Elimination Round
5. Balanced Candidate Preference
6. Profile Bias Check
7. Premium Candidate Score Pattern

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🧠 Major Findings

• Hiring decisions are strongly skill-driven rather than profile-driven
• Structured thinking and confidence impact selection more than fluency
• Preparation significantly increases success probability
• Recruiters prefer balanced candidates over specialists
• Premium candidates follow a clear high-score threshold pattern

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🛠️ Tech Stack

• Python
• Pandas
• NumPy
• Seaborn
• Matplotlib
• Jupyter Notebook

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📁 Project Structure

Hiring-Analysis/
│── data/
│   └── Byjus.csv
│
│── notebook/
│   └── byju.ipynb
│
└── README.md

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💡 Conclusion

The analysis shows that hiring decisions in communication-heavy roles are primarily determined by demonstrated ability and preparation, not candidate background.

This project demonstrates real-world analytical thinking:

Moving beyond charts → deriving actionable hiring insights.

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🚀 Author

Abhishek Singh Data Analysis Portfolio Project