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AVASOFT Data Science Engineer Interview Questions and Answers

Updated 7 May 2024

AVASOFT Data Science Engineer Interview Experiences

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
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Coding Test 

3 question were asked in 90 min time

Round 2 - Technical 

(2 Questions)

  • Q1. What is precison ?
  • Ans. 

    Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

    • Precision is calculated as TP / (TP + FP), where TP is true positives and FP is false positives.

    • It measures the accuracy of positive predictions made by the model.

    • A high precision indicates that the model is good at predicting positive cases without many false positives.

    • For example, in a binary classificatio...

  • Answered by AI
  • Q2. What is large lang. model ?
  • Ans. 

    A large language model is a type of artificial intelligence model that is capable of understanding and generating human language at a large scale.

    • Large language models use deep learning techniques to process and generate text.

    • Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).

  • Answered by AI

Skills evaluated in this interview

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
3
Average
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Technical 

(7 Questions)

  • Q1. Tell me about yourself
  • Q2. Tell me in details about your project. (Mainly the python related project)
  • Q3. Which ML algorithm did you use in your project?
  • Ans. 

    I used the Random Forest algorithm in my project.

    • Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.

    • It is used for both classification and regression tasks.

    • Random Forest reduces overfitting and provides feature importance.

    • Example: I used Random Forest to predict customer churn in a telecom company.

  • Answered by AI
  • Q4. What is Sql? And what is a database?
  • Ans. 

    SQL is a programming language used for managing and manipulating relational databases. A database is a structured collection of data.

    • SQL is used to retrieve, insert, update, and delete data from a database.

    • A database is a software system that stores and organizes data in a structured manner.

    • SQL allows users to define the structure of a database, create tables, and establish relationships between tables.

    • Examples of data

  • Answered by AI
  • Q5. What do you understand by joins in sql?
  • Ans. 

    Joins in SQL are used to combine rows from two or more tables based on a related column between them.

    • Joins are used to retrieve data from multiple tables in a single query.

    • Common types of joins include inner join, left join, right join, and full outer join.

    • Joins are performed using the JOIN keyword and specifying the columns to join on.

    • Joins can be used to combine tables based on matching values or non-matching values.

    • ...

  • Answered by AI
  • Q6. Apply join in the above tables (Table was provided by the interviewer)
  • Q7. How many squares are their in a chess box? (Aptitude question)

Interview Preparation Tips

Topics to prepare for Wolters Kluwer Data Science Intern interview:
  • Python
  • Machine Learning
  • Natural Language Processing
  • MySQL
  • Algorithms
Interview preparation tips for other job seekers - The interview was quite hard for me. If you want to prepare you should have good knowledge about python, pandas, ml and nlp. (Hands on experience is what matters most to clear this interview).

Skills evaluated in this interview

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

I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Coding Test 

I was told about the screening round and the interviewer came with bunch of coding questions which In my opinion I did good. But got rejected.

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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sql and python questions were there with basic logic check

Round 2 - HR 

(2 Questions)

  • Q1. Python code with funticion
  • Ans. 

    Python code with function

    • Define a function using 'def' keyword

    • Include parameters inside parentheses

    • Use 'return' statement to return a value from the function

  • Answered by AI
  • Q2. Sql with case statwment

Skills evaluated in this interview

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

I applied via campus placement at Indian Institute of Technology (IIT), Kharagpur and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Mostly data related question and two coding questions which we had to do in python only

Round 2 - One-on-one 

(3 Questions)

  • Q1. They asked the mathematics behind Adam Optimizer
  • Q2. What is attention in term of data science?
  • Ans. 

    Attention in data science refers to the mechanism that allows models to focus on specific parts of the input data.

    • Attention mechanisms help models to weigh the importance of different input features.

    • They are commonly used in natural language processing tasks such as machine translation and text summarization.

    • Attention can improve the performance of models by allowing them to selectively focus on relevant information.

    • Ex...

  • Answered by AI
  • Q3. Questions on whether you would use precision and recall in real life example for measuring accuracy.
Round 3 - One-on-one 

(2 Questions)

  • Q1. How would you judge the efficiency of LLMs
  • Ans. 

    Efficiency of LLMs can be judged based on various factors such as accuracy, speed, resource consumption, and interpretability.

    • Evaluate accuracy by comparing LLM predictions with ground truth labels

    • Assess speed by measuring the time taken for LLM to process data

    • Analyze resource consumption in terms of memory and computational power usage

    • Consider interpretability by examining how easily LLM decisions can be understood

    • Use...

  • Answered by AI
  • Q2. Questions on CV mostly

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
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked about some machine learning concepts like NLP, TensorFlow etc

AVASOFT Interview FAQs

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

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