Question 1

Why do you want to work at Infosys?

Accepted Answer

Infosys stands out for its commitment to innovation and its 'Navigate Your Next' philosophy. I'm particularly drawn to the Springboard learning platform and Infosys BPM's consulting approach. The opportunity to work with Fortune 500 clients while continuously upskilling through internal platforms aligns perfectly with my career goals. Infosys's focus on AI and cloud transformation is exactly where I want to build expertise.

Question 2

Tell me about a time you worked in a team.

Accepted Answer

During my 3rd year, our team of 5 had to build a collaborative web app in 3 weeks. Roles were unclear initially, causing overlap. I suggested we divide tasks using a Kanban board — design, backend, frontend, testing, and docs. I took backend responsibility and created daily sync-ups. When one team member struggled with React, I paired with them evenings. We delivered on time and got the best demo grade in class.

Question 3

What motivates you?

Accepted Answer

I'm most motivated by the feeling of solving a problem that genuinely helps someone. During my internship, I optimized a query that reduced report loading time from 12 seconds to 1.2 seconds — the manager's reaction when he saw it work made the effort worthwhile. I also love the learning curve in technology — there's always something new to master, which keeps work engaging long-term.

Question 4

How do you prioritize tasks when you have multiple deadlines?

Accepted Answer

I use an urgency-importance matrix. First, I list all tasks, then categorize them by deadline and business impact. High-impact and urgent tasks get done first. I also communicate early if I'm at risk of missing a deadline — proactive updates are better than surprises. During my final semester with exams, a project deadline, and an internship, I used a shared Google Calendar to block time for each, and it worked well.

Question 5

Describe your greatest achievement.

Accepted Answer

My greatest achievement was developing an ML-based crop disease detection app for a college hackathon. I had only 48 hours and no prior ML deployment experience. I learned Flask APIs on the fly, used a pre-trained model, and built a simple mobile-friendly frontend. We won 2nd place among 120 teams. Beyond winning, I learned more in those 48 hours than in a full semester — it showed me I can pick up new technologies quickly under pressure.

Question 6

What are your technical skills?

Accepted Answer

My core languages are Java and Python. In Java, I've built RESTful APIs using Spring Boot for a library management system project. In Python, I've done data analysis using Pandas and NumPy, and built an ML model for sentiment analysis. I'm also comfortable with SQL, Git, and basics of AWS (S3, EC2). Currently, I'm learning Docker to containerize my applications.

Question 7

How do you handle criticism?

Accepted Answer

I see constructive criticism as the fastest path to improvement. During my internship code review, my mentor pointed out that my functions were too long and violated the single-responsibility principle. Initially I felt defensive, but I refactored the code and realized the improvement was significant. Now I actively seek code reviews before submitting work. Feedback from someone experienced is a shortcut to learning.

Question 8

Do you prefer working independently or in a team?

Accepted Answer

I'm comfortable with both, and I think the context determines which is better. Independent work is great for deep, focused tasks like writing algorithms or doing research. Team work shines in design discussions, brainstorming, and building complex systems where diverse perspectives catch blind spots. At Infosys, I'd expect to do both — I'm equally comfortable diving deep solo or contributing in an Agile team.

Section	Questions	Time (min)
Quantitative Aptitude	15	25
Logical Reasoning	15	25
Verbal Ability	20	20
Pseudo Code	5	20
Puzzle Solving	10	30
Coding (2 problems)	2	30
Total	65	150

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