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Azentio Data Scientist Interview Questions and Answers

Updated 6 Jul 2024

Azentio Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image rishi shrestham

posted on 6 Jul 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed in Jun 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Everything about the central tendencies in a given data set?
  • Q2. What is overfitting and underfitting and related solution?
  • Ans. 

    Overfitting and underfitting are common problems in machine learning where the model either learns the noise in the training data or fails to capture the underlying patterns.

    • Overfitting occurs when a model learns the training data too well, including the noise and outliers, leading to poor generalization on new data.

    • Underfitting happens when a model is too simple to capture the underlying patterns in the data, resultin...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Azentio Data Scientist interview:
  • Statistics
  • Deep Learning
  • data preorocessing

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
  • Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
  • Ans. 

    Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.

    • Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

    • Adam optimizer uses adaptive learning rates for each parameter.

    • Gradient Descent optimizer has a fixed learning rate for all parameters.

    • Adam optimizer includes momentum to speed up convergence.

    • Gradient Descent optimizer updates parameters b...

  • Answered by AI
  • Q3. When to use Relu and when not?
  • Ans. 

    Use ReLU for hidden layers in deep neural networks, avoid for output layers.

    • ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

    • Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

    • Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

    • ReLU is computationally efficient and helps in preventing the vanishing gradient prob...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Standard question from sql and python in hackerrank

Round 2 - Technical 

(2 Questions)

  • Q1. Reverse a linked list
  • Ans. 

    Reverse a linked list by changing the direction of pointers

    • Start with three pointers: current, previous, and next

    • Iterate through the linked list, updating pointers to reverse the direction

    • Return the new head of the reversed linked list

  • Answered by AI
  • Q2. Question based on joins and subquery
Round 3 - HR 

(2 Questions)

  • Q1. More question about project
  • Q2. What do you know about genAI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep it simple and be honest

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. On Project from resume
  • Q2. GenAI basics
Round 2 - Technical 

(2 Questions)

  • Q1. RAG, LLM, Azure OpenAI
  • Q2. Python questions

Interview Preparation Tips

Topics to prepare for Axtria Data Scientist interview:
  • genai
  • Python
  • Llm
Interview preparation tips for other job seekers - Good interview process, good interviewer
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Long Coding Test
Questions related to SQL, Cloud Computing(Azure), DSA, Data Science, Advance Stats, Python were asked

Round 3 - Technical 

(1 Question)

  • Q1. Questions Related to my intern and project Questions related to oops, dbms, python, dsa etc.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Heap concept,insert 10 values in list
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Test is conducted on their internal platform which consist of aptitude and coding questions

Round 2 - Technical 

(1 Question)

  • Q1. Cover all the topics such as machine learning, sql, deep learning, NLP and projects you have done.,
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Normal mental ability question

Round 2 - Technical 

(1 Question)

  • Q1. Live coding and python question asked(like what is list , set)
Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic questions on resume back propagation , gradient descent , activation functions and what is the significance why resnet , vanishing gradient poroblem

I applied via Company Website and was interviewed in May 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. Basic of Deep Learning
  • Q2.  Topic Name 1. Decision Tree 2. Optimization 3. CNN,RNN, LSTM, GRU details comparison.
  • Q3. Mathematics & Statistics some basic question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepared all trending question

Azentio Interview FAQs

How many rounds are there in Azentio Data Scientist interview?
Azentio interview process usually has 1 rounds. The most common rounds in the Azentio interview process are One-on-one Round.
What are the top questions asked in Azentio Data Scientist interview?

Some of the top questions asked at the Azentio Data Scientist interview -

  1. what is overfitting and underfitting and related soluti...read more
  2. everything about the central tendencies in a given data s...read more

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Azentio Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Azentio Data Scientist Salary
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₹7 L/yr - ₹13 L/yr
42% less than the average Data Scientist Salary in India
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