Upload Button Icon Add office photos
Engaged Employer

i

This company page is being actively managed by NeoSOFT Team. If you also belong to the team, you can get access from here

NeoSOFT Verified Tick

Compare button icon Compare button icon Compare

Filter interviews by

Clear (1)

NeoSOFT Jr. Data Scientist Interview Questions and Answers

Updated 1 Nov 2024

NeoSOFT Jr. Data Scientist Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

30 minutes. 3 aptitude questions . Very easy .

Round 2 - Coding Test 

DSA Questions. Palindrome , Arrays and Strings were the most asked questions in my batch.

Round 3 - One-on-one 

(2 Questions)

  • Q1. What are directors?
  • Ans. 

    Directors are individuals responsible for overseeing the activities and operations of a company or organization.

    • Directors are typically appointed by shareholders or members of the organization.

    • They are responsible for making strategic decisions and setting goals for the organization.

    • Directors have a fiduciary duty to act in the best interests of the company and its stakeholders.

    • Examples of directors include the CEO, CF

  • Answered by AI
  • Q2. OOP COncepts such as polymorphism, inheritance, etc.

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - Coding Test 

Normal there is not advance requirment

Round 3 - HR 

(5 Questions)

  • Q1. Will you work will less amount package
  • Q2. You wouldn't get any travel cost?
  • Q3. What about machine learning
  • Ans. 

    Machine learning is a branch of artificial intelligence that focuses on developing algorithms and models that can learn from and make predictions or decisions based on data.

    • Machine learning involves training algorithms to learn patterns from data and make predictions or decisions.

    • It can be supervised, unsupervised, or semi-supervised learning.

    • Examples include recommendation systems, image recognition, and natural langu

  • Answered by AI
  • Q4. Tellm me about any cloud platform
  • Ans. 

    A cloud platform is a service that allows users to store, manage, and process data remotely.

    • Cloud platforms provide scalable and flexible storage solutions

    • They offer various services such as computing power, databases, and analytics tools

    • Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform

  • Answered by AI
  • Q5. Telll me about pointer
  • Ans. 

    A pointer is a variable that stores the memory address of another variable.

    • Pointers are used to access and manipulate memory directly.

    • They are commonly used in programming languages like C and C++.

    • Example: int *ptr; // declaring a pointer variable

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Nothing They will only look for people with less package.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Job Fair and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Hackrank coding round of machine learning questions

Round 2 - Technical 

(5 Questions)

  • Q1. What is logistic regression
  • Ans. 

    Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.

    • Logistic regression is used when the dependent variable is binary (e.g., 0 or 1, yes or no).

    • It estimates the probability that a given input belongs to a certain category.

    • It uses the logistic function to model the relationship between the dependent variable and independent variables.

    • Coe...

  • Answered by AI
  • Q2. What is linear regression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that repres...

  • Answered by AI
  • Q3. What experince do you have in model deployment
  • Ans. 

    I have experience deploying machine learning models using cloud services like AWS SageMaker and Azure ML.

    • Deployed a sentiment analysis model on AWS SageMaker for real-time predictions

    • Deployed a recommendation system model on Azure ML for batch predictions

    • Used Docker containers to deploy models in production environments

  • Answered by AI
  • Q4. What are transformers ?
  • Ans. 

    Transformers are models used in natural language processing (NLP) that learn contextual relationships between words.

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

    • They have revolutionized NLP tasks such as language translation, sentiment analysis, and text generation.

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

  • Answered by AI
  • Q5. What is hyperparameter tuning
  • Ans. 

    Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.

    • Hyperparameters are parameters that are set before the learning process begins, such as learning rate, number of hidden layers, etc.

    • Hyperparameter tuning involves trying out different combinations of hyperparameters to find the ones that result in the best model performance.

    • Techniques for hyperparameter tuning...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Do well and contribute well

Round 2 - Aptitude Test 

Do well and contribute well

Round 3 - Coding Test 

Do well and contribute well

Round 4 - One-on-one 

(2 Questions)

  • Q1. Why we choose this job
  • Ans. 

    I am passionate about using data to solve complex problems and make meaningful insights.

    • I have a strong background in statistics and data analysis

    • I enjoy working with large datasets and finding patterns within them

    • I am excited about the opportunity to work on real-world problems and make a positive impact

  • Answered by AI
  • Q2. What are your expectations
  • Ans. 

    I expect challenging projects, opportunities for growth, supportive team environment, and continuous learning.

    • Challenging projects that allow me to apply my skills and knowledge

    • Opportunities for growth and advancement within the company

    • Supportive team environment where collaboration and knowledge sharing are encouraged

    • Continuous learning through training, workshops, and mentorship programs

  • Answered by AI
Round 5 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a data-driven individual with a strong background in statistics and machine learning.

    • Graduated with a degree in Statistics

    • Proficient in programming languages like Python and R

    • Experience with data visualization tools like Tableau

    • Completed projects involving predictive modeling and data analysis

  • Answered by AI
  • Q2. What are your salary expectations
  • Ans. 

    I am looking for a competitive salary based on my skills and experience.

    • Research industry standards for Jr. Data Scientist salaries

    • Consider my level of experience and education

    • Factor in the cost of living in the area where the job is located

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Not Selected

I applied via LinkedIn and was interviewed in Nov 2022. There were 2 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 Resume tips
Round 2 - One-on-one 

(3 Questions)

  • Q1. Evaluation metrics used in multiclass classification
  • Ans. 

    Evaluation metrics for multiclass classification

    • Accuracy

    • Precision

    • Recall

    • F1 Score

    • Confusion Matrix

  • Answered by AI
  • Q2. Difffereence between append and extend
  • Ans. 

    Append adds a single element to a list while extend adds multiple elements.

    • Append adds the element as it is to the end of the list.

    • Extend takes an iterable and adds each element of the iterable to the end of the list.

    • Append can be used to add a single element to a list.

    • Extend can be used to add multiple elements to a list.

    • Example: list1 = [1, 2, 3], list2 = [4, 5], list1.append(4) will result in [1, 2, 3, 4], list1.ext

  • Answered by AI
  • Q3. Sort a list and take out second minimum
  • Ans. 

    Sort a list and extract the second minimum value.

    • Sort the list in ascending order using the sort() method.

    • Extract the second minimum value using indexing.

    • Handle cases where the list has less than two elements.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare python and ML basics with well defined projects with business use

Skills evaluated in this interview

Jr. Data Scientist Interview Questions & Answers

TCS user image prakhar makhija

posted on 13 Aug 2023

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Introduction and overview of the projects
Round 3 - Technical 

(1 Question)

  • Q1. Computer vision questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Most like other campus recruiting test

Round 2 - Coding Test 

Coding for an example in python

Round 3 - One-on-one 

(2 Questions)

  • Q1. Query to print date in Sql
  • Ans. 

    Use SELECT statement with DATE_FORMAT function in SQL to print date in desired format.

    • Use SELECT DATE_FORMAT(date_column, 'desired_format') FROM table_name;

    • Replace 'date_column' with the column containing the date data and 'desired_format' with the format you want to print the date in.

    • Example: SELECT DATE_FORMAT(date_column, '%Y-%m-%d') FROM table_name;

  • Answered by AI
  • Q2. Question on list and tuple

Interview Preparation Tips

Interview preparation tips for other job seekers - Work hard on language and sql
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Fibonacci series print

Round 2 - Assignment 

Sales dataset to predict future sales

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 Dec 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

This was good aptitude test computer based

Round 2 - Coding Test 

Coding round share screen and code

Round 3 - Technical 

(2 Questions)

  • Q1. Explains OOPs concept
  • Ans. 

    OOPs (Object-Oriented Programming) is a programming paradigm based on the concept of objects, which can contain data and code.

    • OOPs focuses on creating objects that interact with each other to solve complex problems.

    • Key principles of OOPs include encapsulation, inheritance, polymorphism, and abstraction.

    • Encapsulation involves bundling data and methods that operate on the data into a single unit (object).

    • Inheritance allo...

  • Answered by AI
  • Q2. Explain SOLID principles
  • Ans. 

    SOLID principles are a set of five design principles in object-oriented programming to make software more maintainable, flexible, and scalable.

    • Single Responsibility Principle (SRP) - A class should have only one reason to change.

    • Open/Closed Principle (OCP) - Software entities should be open for extension but closed for modification.

    • Liskov Substitution Principle (LSP) - Objects of a superclass should be replaceable with...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Get your basics straight

I applied via Walk-in and was interviewed before Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Basic Programming questions.
  • Q2. Fibonacci program
  • Q3. OOPS concepts.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basic OOPS concepts and basic programs.
Contribute & help others!
anonymous
You can choose to be anonymous

NeoSOFT Interview FAQs

How many rounds are there in NeoSOFT Jr. Data Scientist interview?
NeoSOFT interview process usually has 3 rounds. The most common rounds in the NeoSOFT interview process are Aptitude Test, Coding Test and One-on-one Round.
What are the top questions asked in NeoSOFT Jr. Data Scientist interview?

Some of the top questions asked at the NeoSOFT Jr. Data Scientist interview -

  1. What are directo...read more
  2. OOP COncepts such as polymorphism, inheritance, e...read more

Recently Viewed

PHOTOS

InsuranceDekho

3 office photos

LIST OF COMPANIES

Credit Bajaar

Overview

INTERVIEWS

Dalmia Bharat Cement

80 top interview questions

SALARIES

Broadridge Financial Solutions

INTERVIEWS

National Stock Exchange of India

No Interviews

INTERVIEWS

DTDC Express

No Interviews

INTERVIEWS

Escorts Kubota Limited

No Interviews

INTERVIEWS

Securities and Exchange Board of India

No Interviews

SALARIES

Broadridge Financial Solutions

INTERVIEWS

Dalmia Bharat Cement

No Interviews

Tell us how to improve this page.

NeoSOFT Jr. Data Scientist Interview Process

based on 2 interviews

Interview experience

3.5
  
Good
View more

Interview Questions from Similar Companies

TCS Interview Questions
3.7
 • 10.4k Interviews
Infosys Interview Questions
3.6
 • 7.5k Interviews
Wipro Interview Questions
3.7
 • 5.6k Interviews
Tech Mahindra Interview Questions
3.5
 • 3.8k Interviews
HCLTech Interview Questions
3.5
 • 3.8k Interviews
LTIMindtree Interview Questions
3.8
 • 2.9k Interviews
Mphasis Interview Questions
3.4
 • 788 Interviews
View all

NeoSOFT Jr. Data Scientist Reviews and Ratings

based on 1 review

5.0/5

Rating in categories

5.0

Skill development

4.0

Work-life balance

4.0

Salary

3.0

Job security

4.0

Company culture

4.0

Promotions

4.0

Work satisfaction

Explore 1 Review and Rating
Software Engineer
2k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Senior Software Engineer
735 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Software Developer
706 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Softwaretest Engineer
513 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Front end Developer
184 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Explore more salaries
Compare NeoSOFT with

TCS

3.7
Compare

Infosys

3.6
Compare

Wipro

3.7
Compare

HCLTech

3.5
Compare
Did you find this page helpful?
Yes No
write
Share an Interview
Rate your experience using AmbitionBox
Terrible
Terrible
Poor
Poor
Average
Average
Good
Good
Excellent
Excellent