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Hinduja Tech Data Scientist Interview Questions and Answers

Updated 26 Jul 2024

Hinduja Tech Data Scientist Interview Experiences

1 interview found

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

(2 Questions)

  • Q1. What is structured and unstructured data? what is supervised and unsupervised learning?
  • Ans. 

    Structured data is organized and easily searchable, while unstructured data lacks a predefined format. Supervised learning uses labeled data for training, while unsupervised learning finds patterns in unlabeled data.

    • Structured data is organized in a predefined format, such as databases or spreadsheets.

    • Unstructured data lacks a specific format and includes text, images, videos, etc.

    • Supervised learning uses labeled data ...

  • Answered by AI
  • Q2. What is CNN? what is the difference between RCNN and RNN?
  • Ans. 

    CNN stands for Convolutional Neural Network. RCNN is Region-based Convolutional Neural Network and RNN is Recurrent Neural Network.

    • CNN is a type of neural network commonly used for image recognition and classification.

    • RCNN is an improvement over CNN that focuses on regions of interest within an image.

    • RNN is a type of neural network designed for sequence data, such as text or speech.

    • The main difference between RCNN and ...

  • Answered by AI
Round 2 - One-on-one 

(2 Questions)

  • Q1. What is your salary expectation?
  • Ans. 

    I am looking for a competitive salary that reflects my skills and experience in the data science field.

    • Research industry standards for data scientist salaries

    • Consider my level of experience and expertise in the field

    • Be prepared to negotiate based on the overall compensation package offered

  • Answered by AI
  • Q2. Do you know predictive analysis?
  • Ans. 

    Yes, predictive analysis involves using statistical algorithms to predict future outcomes based on historical data.

    • Predictive analysis uses historical data to make predictions about future outcomes.

    • It involves the use of statistical algorithms and machine learning techniques.

    • Examples include predicting customer churn, forecasting sales, and detecting fraud.

    • It helps businesses make informed decisions and optimize proces

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

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 Mar 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
Round 2 - One-on-one 

(1 Question)

  • Q1. Project driven. Some coding
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion

I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain a project end to end
  • Ans. 

    Developed a predictive model to identify potential customers for a bank

    • Gathered and cleaned data on customer demographics, financial history, and behavior

    • Performed exploratory data analysis to identify patterns and correlations

    • Developed and trained a machine learning model using logistic regression

    • Evaluated model performance using metrics such as accuracy, precision, and recall

    • Deployed the model in a web application fo

  • Answered by AI
  • Q2. Tell me about yourself
  • Ans. 

    I am a data scientist with expertise in machine learning and data analysis.

    • I have a strong background in statistics and mathematics.

    • I am skilled in programming languages such as Python and R.

    • I have experience working with large datasets and implementing predictive models.

    • I have successfully completed projects in various industries, including finance and healthcare.

    • I am passionate about using data to drive insights and

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Please be yourself and be confident
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(3 Questions)

  • Q1. What are the projects you have worked on?
  • Q2. What is Digital Image Processing?
  • Ans. 

    Digital Image Processing is the manipulation of digital images using algorithms to enhance, analyze, or extract information.

    • It involves techniques like image enhancement, restoration, segmentation, and compression.

    • Common applications include medical imaging, satellite imaging, facial recognition, and object detection.

    • Algorithms like edge detection, noise reduction, and image stitching are used in digital image processi...

  • Answered by AI
  • Q3. Explain OOP in Python
  • Ans. 

    OOP in Python is a programming paradigm where objects are created that contain data and methods to manipulate that data.

    • Classes are used to create objects in Python

    • Objects have attributes (data) and methods (functions)

    • Inheritance allows classes to inherit attributes and methods from other classes

    • Encapsulation allows data to be hidden and only accessed through methods

    • Polymorphism allows objects to be treated as instance

  • Answered by AI

Interview Preparation Tips

Topics to prepare for 3i Infotech Data Science Intern interview:
  • Python
  • ML Algorithms
  • NLP
  • Computer Vision
  • Generative AI

Skills evaluated in this interview

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

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

Round 1 - Technical 

(1 Question)

  • Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...

Interview Preparation Tips

Interview preparation tips for other job seekers - work on logical list codes.

I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain a project end to end
  • Ans. 

    Developed a predictive model to identify potential customers for a bank

    • Gathered and cleaned data on customer demographics, financial history, and behavior

    • Performed exploratory data analysis to identify patterns and correlations

    • Developed and trained a machine learning model using logistic regression

    • Evaluated model performance using metrics such as accuracy, precision, and recall

    • Deployed the model in a web application fo

  • Answered by AI
  • Q2. Tell me about yourself
  • Ans. 

    I am a data scientist with expertise in machine learning and data analysis.

    • I have a strong background in statistics and mathematics.

    • I am skilled in programming languages such as Python and R.

    • I have experience working with large datasets and implementing predictive models.

    • I have successfully completed projects in various industries, including finance and healthcare.

    • I am passionate about using data to drive insights and

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Please be yourself and be confident
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 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 - One-on-one 

(3 Questions)

  • Q1. Machine Learning algorithms
  • Ans. 

    Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.

    • Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.

    • Examples of unsupervised learning algorithms include k-means clustering, ...

  • Answered by AI
  • Q2. Overfitting and underfitting
  • Q3. Questions related to the project
Round 3 - Technical 

(2 Questions)

  • Q1. Questions on project, how much time required for training model
  • Q2. Version control, Flask/ Django, Cloud service experience

Skills evaluated in this interview

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

(1 Question)

  • Q1. Question regarding nlp,python,ml

Interview Preparation Tips

Interview preparation tips for other job seekers - good for begineers
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 experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
Round 2 - One-on-one 

(1 Question)

  • Q1. Project driven. Some coding
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion

Hinduja Tech Interview FAQs

How many rounds are there in Hinduja Tech Data Scientist interview?
Hinduja Tech interview process usually has 2 rounds. The most common rounds in the Hinduja Tech interview process are Technical and One-on-one Round.
What are the top questions asked in Hinduja Tech Data Scientist interview?

Some of the top questions asked at the Hinduja Tech Data Scientist interview -

  1. What is structured and unstructured data? what is supervised and unsupervised l...read more
  2. What is CNN? what is the difference between RCNN and R...read more
  3. Do you know predictive analys...read more

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Hinduja Tech Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
View more
Hinduja Tech Data Scientist Salary
based on 4 salaries
₹3.5 L/yr - ₹9.5 L/yr
49% less than the average Data Scientist Salary in India
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