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Hexagon Capability Center Senior Data Scientist Interview Questions, Process, and Tips

Updated 12 Nov 2024

Hexagon Capability Center Senior Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Nov 2023. There were 3 interview rounds.

Round 1 - Assignment 

Home assignment was measured based on metrics u can visualize.

Round 2 - Technical 

(2 Questions)

  • Q1. How to you measure, optimize and monitor ml model pipeline in cloud?
  • Ans. 

    Measuring, optimizing, and monitoring ML model pipeline in cloud involves tracking performance metrics, tuning hyperparameters, and setting up alerts.

    • Track performance metrics such as accuracy, precision, recall, and F1 score to evaluate model performance.

    • Optimize hyperparameters using techniques like grid search, random search, or Bayesian optimization to improve model accuracy.

    • Set up monitoring tools like CloudWatch ...

  • Answered by AI
  • Q2. What kind of advanced ml modeling technique you used for cloud based image data?
  • Ans. 

    I have used Convolutional Neural Networks (CNN) for cloud based image data.

    • Utilized CNN for image classification and object detection tasks

    • Implemented transfer learning with pre-trained CNN models like VGG, ResNet, or Inception

    • Used data augmentation techniques to improve model performance

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. What is recommneder system?
  • Ans. 

    A recommender system is a type of information filtering system that predicts the preferences or ratings a user would give to items.

    • Recommender systems are commonly used in e-commerce websites to suggest products based on user behavior.

    • They can be content-based, collaborative filtering, or hybrid systems.

    • Examples include Netflix recommending movies based on viewing history, Amazon suggesting products based on purchase h

  • Answered by AI
  • Q2. What is bayesian statistics?
  • Ans. 

    Bayesian statistics is a method of statistical inference in which Bayes' theorem is used to update the probability of a hypothesis as more evidence or information becomes available.

    • Bayesian statistics involves updating prior beliefs with new evidence to form posterior beliefs.

    • It allows for the incorporation of prior knowledge into the analysis.

    • Bayesian statistics is particularly useful in situations with limited data o...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - more focus on the deployment method section rather than just data analytics section

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Naukri.com

Round 1 - Coding Test 

AWS and Python, basic Machine learning questions

Round 2 - Coding Test 

Python, project description, AWS, in build package

Round 3 - Case Study 

Basic Machine learning data science

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Python Coding Questions with

Round 2 - Coding Test 

Bubble sort example Question using python

Round 3 - Case Study 

Previous projects based questions

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Questions were asked related to ML modelling process
  • Q2. Basic python coding
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is Transformers and how they work
  • Ans. 

    Transformers are models used in natural language processing tasks, known for their ability to handle long-range dependencies.

    • Transformers use self-attention mechanism to weigh the importance of different words in a sentence.

    • They consist of encoder and decoder layers, with each layer containing multi-head attention and feed-forward neural network.

    • Examples of transformer models include BERT, GPT-3, and TransformerXL.

  • Answered by AI
  • Q2. How to train a model with imbalance data
  • Ans. 

    Use techniques like oversampling, undersampling, SMOTE, or ensemble methods to train a model with imbalanced data.

    • Use oversampling to increase the number of minority class samples.

    • Use undersampling to decrease the number of majority class samples.

    • Use Synthetic Minority Over-sampling Technique (SMOTE) to generate synthetic samples for the minority class.

    • Utilize ensemble methods like Random Forest or Gradient Boosting to

  • Answered by AI

Skills evaluated in this interview

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

I applied via campus placement at Thapar Institute of Engineering and Technology (TIET) and was interviewed before Sep 2023. There were 2 interview rounds.

Round 1 - Coding Test 

3 coding questions of data structures

Round 2 - HR 

(2 Questions)

  • Q1. Previous work experience and skills
  • Ans. 

    I have 5 years of experience in data analysis, machine learning, and statistical modeling. Proficient in Python, R, SQL, and Tableau.

    • 5 years of experience in data analysis, machine learning, and statistical modeling

    • Proficient in Python, R, SQL, and Tableau

    • Developed predictive models for customer churn prediction using machine learning algorithms

    • Performed data cleaning, preprocessing, and visualization for large dataset...

  • Answered by AI
  • Q2. Guesstimate about number of flights in India
  • Ans. 

    There are approximately 2.5 million flights in India annually.

    • India is one of the fastest growing aviation markets in the world.

    • Major airports like Delhi, Mumbai, Bangalore, and Chennai handle a large number of flights daily.

    • Airlines like IndiGo, SpiceJet, and Air India operate numerous domestic and international flights.

    • The number of flights has been increasing steadily over the years due to growing demand for air tra

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What are the key topics related to Generative AI, specifically focusing on Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)?
  • Q2. What is your understanding of the existing project and the technology stacks used?
Round 2 - Technical 

(3 Questions)

  • Q1. What has been your contribution to existing work and the technologies used in that context?
  • Q2. ML, DL, Gen AI implementation and flow
  • Q3. Python Coding logic and semantics
Round 3 - One-on-one 

(2 Questions)

  • Q1. What are the existing work challenges you face, and what solutions have you implemented to address them?
  • Q2. What is your understanding of Generative AI and Natural Language Processing (NLP), and can you provide examples of their use cases?

Interview Preparation Tips

Interview preparation tips for other job seekers - Genuinely communicate your skills and contributions.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(3 Questions)

  • Q1. Questions around the previous work
  • Q2. Questions around how re-rank work, and image segmentation,
  • Q3. Questions with podman and docker

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile and brush up your knowledge
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Coding Test 

1.Describe your project.
2.Explain machine learning concept.

Round 2 - Case Study 

Presentation based question on case study

Round 3 - HR 

(1 Question)

  • Q1. Tell something which you haven't put in your resume
  • Ans. 

    I have experience in organizing and leading community service projects

    • Organized a charity event to raise funds for a local animal shelter

    • Led a team of volunteers in cleaning up a park in the neighborhood

    • Coordinated a food drive for a homeless shelter

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Aptitude, coding on python NLP

Round 2 - Group Discussion 

Python Data Frames, String list manipulation

Round 3 - HR 

(2 Questions)

  • Q1. Common discussion
  • Q2. Salary location etc

Hexagon Capability Center Interview FAQs

How many rounds are there in Hexagon Capability Center Senior Data Scientist interview?
Hexagon Capability Center interview process usually has 3 rounds. The most common rounds in the Hexagon Capability Center interview process are Technical and Assignment.
What are the top questions asked in Hexagon Capability Center Senior Data Scientist interview?

Some of the top questions asked at the Hexagon Capability Center Senior Data Scientist interview -

  1. How to you measure, optimize and monitor ml model pipeline in clo...read more
  2. what kind of advanced ml modeling technique you used for cloud based image da...read more
  3. what is recommneder syst...read more

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Hexagon Capability Center Senior Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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