My Deloitte Interview Experience: On-Campus Placement Drive Product Engineering Analyst Role)

Introduction

I recently participated in the Deloitte On-Campus Placement Drive for the Product Engineering Analyst role, held in 2024. The offered package was 7.6 LPA, with a base salary of 6 LPA. Around 600 to 700 students applied for the position, and the entire process consisted of four intense rounds. Here’s my step-by-step experience with the preparation, interview rounds, and key takeaways.

Core Areas to Focus On:

• DSA Concepts
• SQL & NoSQL
• Project Clarity
• Behavioral Skills

Interview Rounds Breakdown

Round 1: Online Assessment

• Format: MCQs and two coding questions
• Difficulty: Easy
• Topics: Logical reasoning, aptitude, and DSA (basic array and string problems) The coding problems were straightforward. I faced one problem based on array manipulation and another on basic string processing. After the results, only 60 students were shortlisted from the initial pool of 600–700.

Round 2: Group Discussion

• Topic: “AI Replaces Humans”
• Duration: 30 minutes
• Group Size: 10 participants

This round tested our communication, teamwork, and leadership skills. I ensured that I contributed meaningfully to the discussion, while also listening to my teammates. After 15 minutes of group discussion, 38 candidates advanced to the next round.

*Round 3: Technical Interview
*
This round was heavily focused on the technical aspects of my resume and the skills I listed.
Key Questions:

• Resume Walkthrough: I was asked to explain the key projects mentioned in my resume.
• Project Discussion: I explained a full-stack MERN project, specifically about how I handled student data management and the overall application flow.
• API Explanation: The interviewer asked me to define an API and how I would integrate one into my project.
• Coding Problem: I was asked to identify the next number in the sequence: 5, 10, 35, 75, 195. This required logical reasoning and pattern recognition.
• Database Query: I was asked to write a join query in SQL to fetch data from multiple tables.
• OOP Concept: I was asked to explain inheritance and its real-world applications in Java.

Round 4: Behavioral Interview

The final round was aimed at
evaluating my soft skills and understanding my personality.
Key Questions:

• Self-Introduction: I had to give a brief intro about myself.
• Academic Performance: The interviewer asked why there was a difference between my intermediate and B.Tech scores.
• Skills Discussion: I was tested on my problem-solving skills with questions like: — Find the first repeating character in a string. — Write a function to return character frequencies in a string, with a focus on characters appearing more than twice.
• Project Impact: I was asked to explain the real-world implications of my projects.
• Unique Qualities: The interviewer asked me to list three qualities that set me apart.
• Confidence Level: I was asked if I felt confident about being selected when I entered the interview.
• Future Goals: I had to describe where I see myself in five years.
• Strengths and Weaknesses: The interviewer asked about my strengths and areas I need to improve. At the end, the interviewer gave me some advice: Avoid using AI-generated resumes and focus on keeping your resume authentic and concise.

*Final Verdict : Selected *

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