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. Approximately 600 to 700 students applied for the position, and the entire process consisted of four intense rounds. Here’s a step-by-step account of my experience with the preparation, interview rounds, and key takeaways.
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 encountered 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 focused heavily 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 detailed 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 describe how I would integrate one into my project.
- Coding Problem: I was tasked with identifying the next number in the sequence: 5, 10, 35, 75, 195, which 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 explained inheritance and its real-world applications in Java.
This round was a mix of project-related discussions, coding problems, and OOP concepts, lasting about 30 minutes.
Round 4: Behavioral Interview
The final round aimed to evaluate my soft skills and understand my personality.
Key Questions:
- Self-Introduction: I provided a brief introduction 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, focusing on characters appearing more than twice.
- Project Impact: I explained the real-world implications of my projects.
- Unique Qualities: I was asked 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 described where I see myself in five years.
- Strengths and Weaknesses: The interviewer inquired about my strengths and areas I need to improve.
At the end, the interviewer advised me to avoid using AI-generated resumes and to focus on keeping my resume authentic and concise.
Final Verdict
After a challenging and rewarding interview process, I’m thrilled to share that I was selected for the Product Engineering Analyst role at Deloitte. The Deloitte interview process combines technical and behavioral assessments, making it crucial to be well-rounded in both areas for success.
