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AVASOFT Data Science Engineer Interview Questions and Answers for Experienced

Updated 7 May 2024

AVASOFT Data Science Engineer Interview Experiences for Experienced

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Selected Selected

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

Round 1 - Group Discussion 

GD round where check your communication skills

Round 2 - Technical 

(1 Question)

  • Q1. Technical interview about python basics
Round 3 - HR 

(1 Question)

  • Q1. General hr round about family background

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

Data Scientist Interview Questions & Answers

Chetu user image Abhilasha Dimble

posted on 22 Feb 2024

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys, interviewer is really wierd...very rude...
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

180 mins of online test with camera ON. Major topics include Excel, Aptitude, Python, Statistics and Case Study

Round 2 - Technical 

(2 Questions)

  • Q1. Explain Apriori Method
  • Ans. 

    Apriori method is a popular algorithm for frequent itemset mining in data mining.

    • Used for finding frequent itemsets in transactional databases

    • Based on the concept of association rule mining

    • Involves generating candidate itemsets and pruning based on support threshold

    • Example: If {milk, bread} is a frequent itemset, then {milk} and {bread} are also frequent

  • Answered by AI
  • Q2. Explain train-test in Scikit learn
  • Ans. 

    Train-test split is a method used to divide a dataset into training and testing sets for model evaluation in Scikit learn.

    • Split the dataset into two subsets: training set and testing set

    • Training set is used to train the model, while testing set is used to evaluate the model's performance

    • Common split ratios are 70-30 or 80-20 for training and testing sets

    • Example: X_train, X_test, y_train, y_test = train_test_split(X, y,

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Explain about projects in current company
  • Q2. Why do you want to move to an individual contributor role from a managerial position
Round 4 - One-on-one 

(2 Questions)

  • Q1. Why do you want to join Wolters Kluwer?
  • Q2. Discussion around analytics and managerment reporting deliverables in current org.

Interview Preparation Tips

Topics to prepare for Wolters Kluwer Data Scientist interview:
  • Advanced Excel
  • Python
  • Power Bi
  • Pivot Table
Interview preparation tips for other job seekers - You must be an advanced Excel user and decent knowledge of Python.

Skills evaluated in this interview

AVASOFT Interview FAQs

How many rounds are there in AVASOFT Data Science Engineer interview for experienced candidates?
AVASOFT interview process for experienced candidates usually has 3 rounds. The most common rounds in the AVASOFT interview process for experienced candidates are Group Discussion, Technical and HR.

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