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Honda Motorcycle & Scooter Quantitative Analyst Interview Questions and Answers

Updated 2 Apr 2023

Honda Motorcycle & Scooter Quantitative Analyst Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Mar 2023. There were 2 interview rounds.

Round 1 - Coding Test 

My name is khemchand. I am working in Honda motorcycle scooty Pvt Ltd. I have good knowledge in computer,sap, quantity inspection, layout,fit function etc.

Round 2 - HR 

(2 Questions)

  • Q1. What is list count of varnior caliper.
  • Ans. 

    The list count of a vernier caliper refers to the number of divisions on its scale.

    • The list count is the total number of divisions on the scale of a vernier caliper.

    • It represents the precision and accuracy of measurements that can be taken using the caliper.

    • For example, a vernier caliper with a list count of 20 means that it has 20 divisions on its scale.

    • The smaller the list count, the more precise the measurements tha

  • Answered by AI
  • Q2. What is full form of t-cod
  • Ans. 

    There is no full form of t-cod.

    • There is no full form of t-cod as it is not a commonly used term in any field.

    • It is possible that the interviewer made a mistake or was testing the candidate's ability to admit when they do not know something.

    • The candidate should be honest and admit if they do not know the answer to a question.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - I am good knowledge quality analyst and good knowledge in computer Excel

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Online assessment, coding mcq questions

Round 2 - Technical 

(2 Questions)

  • Q1. Use cases, resume related questions, ML related questions
  • Q2. Questions on ML algorithms, clustering, deep learning questions, should be good with at least basic concepts of ML
Round 3 - Technical 

(2 Questions)

  • Q1. Basic concepts of Ml and some valuation metrics questions
  • Q2. Customer segmentation based use case questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. 1. What is churn prediction.
  • Ans. 

    Churn prediction is the process of identifying customers who are likely to stop using a service or product.

    • Churn prediction uses historical data to build models that can forecast which customers are at risk of leaving.

    • Common techniques for churn prediction include machine learning algorithms like logistic regression, decision trees, and neural networks.

    • Businesses use churn prediction to proactively retain customers by ...

  • Answered by AI
  • Q2. 2. How Faster Rcnn better then Rcnn
  • Ans. 

    Faster R-CNN is an improved version of R-CNN with a faster and more accurate object detection process.

    • Faster R-CNN introduces Region Proposal Network (RPN) for generating region proposals, making the process faster.

    • It combines the advantages of RPN and Fast R-CNN for improved speed and accuracy.

    • Faster R-CNN achieves better performance in terms of speed and accuracy compared to R-CNN.

    • It is widely used in computer vision...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Apr 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is data science? what do you like about data science?
  • Ans. 

    Data science is a field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

    • Data science involves analyzing large amounts of data to uncover patterns, trends, and insights.

    • It combines statistics, machine learning, and domain knowledge to solve complex problems.

    • Data science is used in various industries such as healthcare, finance, marketing, and ...

  • Answered by AI
  • Q2. List comprehension & array related, how to reverse a list?

Skills evaluated in this interview

Honda Motorcycle & Scooter Interview FAQs

How many rounds are there in Honda Motorcycle & Scooter Quantitative Analyst interview?
Honda Motorcycle & Scooter interview process usually has 3 rounds. The most common rounds in the Honda Motorcycle & Scooter interview process are Resume Shortlist, Coding Test and HR.
What are the top questions asked in Honda Motorcycle & Scooter Quantitative Analyst interview?

Some of the top questions asked at the Honda Motorcycle & Scooter Quantitative Analyst interview -

  1. What is list count of varnior calip...read more
  2. What is full form of t-...read more

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Honda Motorcycle & Scooter Quantitative Analyst Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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