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Wrig Nanosystems Research and Development Interview Questions and Answers

Updated 3 Oct 2016

Wrig Nanosystems Research and Development Interview Experiences

1 interview found

Research and Development Interview Questions & Answers

user image Shantini Balakrishnan

posted on 3 Oct 2016

I applied via campus placement at Indian Institute of Technology (IIT), Chennai

Interview Preparation Tips

Round: Resume Shortlist
Tips: Have a well written resume. Explain all your achievements in a detailed manner.

Round: Technical Interview
Experience: The interview was based on resume. It started with tell me about yourself . I was then asked to explain about my intern and projects. Proper understanding of the projects done was expected.
Tips: Be confident and be thorough with all the points in your resume.

Round: Puzzle Interview
Experience: The interview started with , "Talk about one of your greatest achievements". Then I was asked 4 puzzles. The process you follow to reach the answer is important.
Tips: Make sure you walk the interviewer through the process.

Round: Case Study Interview
Experience: This was a Skype, case interview. The process you follow to arrive at a solution is important.

General Tips: Be confident and feel free to clarify any doubts you have. Think loud during the process of solving puzzles and case study.
Skills: Fast paced learning capability, Lateral Thinking
Duration: 2 months
College Name: IIT Madras

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Hard
Process Duration
6-8 weeks
Result
Not Selected

I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Assignment 

Hackerrank assignment with 2 coding and couple mullt-choice questions.

Round 2 - Case Study 

Talked to hiring manager about a system design related to computer vision.

Round 3 - Technical 

(2 Questions)

  • Q1. Design a ML model to come up with filtering choices in the website.
  • Ans. 

    Design a ML model for filtering choices on a website.

    • Collect user data on preferences and behavior

    • Use collaborative filtering or content-based filtering algorithms

    • Implement a recommendation system to suggest choices based on user data

    • Regularly update the model with new data for improved accuracy

  • Answered by AI
  • Q2. SQL question to process given tables

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