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Tech Mahindra Data Scientist Interview Questions, Process, and Tips

Updated 4 Aug 2024

Top Tech Mahindra Data Scientist Interview Questions and Answers

View all 7 questions

Tech Mahindra Data Scientist Interview Experiences

5 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

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

Round 1 - Technical 

(6 Questions)

  • Q1. Which GenAI projects I have worked on
  • Q2. What is the context window in LLMs
  • Ans. 

    Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.

    • Context window helps LLMs capture dependencies between words in a sentence.

    • A larger context window allows the model to consider more context but may lead to increased computational complexity.

    • For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo

  • Answered by AI
  • Q3. What is top_k parameter
  • Ans. 

    top_k parameter is used to specify the number of top elements to be returned in a result set.

    • top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

    • For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

    • In natural language processing tasks, top_k can be used to limit the number of possible next words in a

  • Answered by AI
  • Q4. What are regex patterns in python
  • Ans. 

    Regex patterns in Python are sequences of characters that define a search pattern.

    • Regex patterns are used for pattern matching and searching in strings.

    • They are created using the 're' module in Python.

    • Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.

  • Answered by AI
  • Q5. What are iterators and tuples
  • Ans. 

    Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.

    • Iterators are used to loop through elements in a collection, like lists or dictionaries

    • Tuples are similar to lists but are immutable, meaning their elements cannot be changed

    • Example of iterator: for item in list: print(item)

    • Example of tuple: my_tuple = (1, 2, 3)

  • Answered by AI
  • Q6. Do I have REST API experience
  • Ans. 

    Yes, I have experience working with REST APIs in various projects.

    • Developed RESTful APIs using Python Flask framework

    • Consumed REST APIs in data analysis projects using requests library

    • Used Postman for testing and debugging REST APIs

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between supervised and unsupervised learning
  • Ans. 

    Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.

    • Supervised learning requires a target variable for training the model.

    • Examples of supervised learning include classification and regression.

    • Unsupervised learning finds patterns and relationships in data without a target variable.

    • Examples of unsupervised learning include clustering and dimensionality reduction.

  • Answered by AI
  • Q2. What is sigmoid function
  • Ans. 

    Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.

    • Used in machine learning for binary classification problems to produce probabilities

    • Commonly used in logistic regression

    • Has an S-shaped curve

    • Equation: f(x) = 1 / (1 + e^(-x))

  • Answered by AI

Skills evaluated in this interview

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

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

Round 1 - Technical 

(1 Question)

  • Q1. What is linear regression? How to process data? Explain KLM algorithm.
  • 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 minimi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for ml algorithms, mostly focus on linear regression

Skills evaluated in this interview

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 Aug 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 - Technical 

(1 Question)

  • Q1. About your project and experience
Round 3 - Coding Test 

Core Python questions were asked

Tech Mahindra interview questions for designations

 Senior Data Analyst

 (3)

 Associate Data Analyst

 (1)

 Data Analyst

 (17)

 Data Engineer

 (14)

 Data Architect

 (1)

 Data Migration

 (1)

 Business Intelligence Consultant

 (1)

 Business Intelligence Analyst

 (1)

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.

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 tips
Round 2 - One-on-one 

(3 Questions)

  • Q1. Question on based resume points
  • Q2. 2 to 3 codes
  • Q3. Project explanation
Round 3 - One-on-one 

(3 Questions)

  • Q1. Deep question and answering to know candidature behavior based on Resume
  • Q2. Coding in python
  • Q3. Project explanation
Round 4 - One-on-one 

(1 Question)

  • Q1. Scenario round, knowing how you think at particular situation

Interview Preparation Tips

Interview preparation tips for other job seekers - Do best practice of code, screen your resume by yourselves max to max, project explanation is like storytelling to small child.

Get interview-ready with Top Tech Mahindra Interview Questions

Interview questions from similar companies

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

(3 Questions)

  • Q1. About Machine learning basics, activation functions linear regression, cnn, all basics..
  • Q2. About project questions, about sdlc basic 3 questions
  • Q3. About Why not used another model for training?

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare Machine learning basics and project details well..
Interview experience
5
Excellent
Difficulty level
-
Process Duration
Less than 2 weeks
Result
-

I was interviewed in Aug 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. DFA Focus :Sorting ,Searching ,Stacks,Queues, HashMaps
  • Q2. Os & cn: Process scheduling, TCP/IP, HTTP basics
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
-
Result
No response

I was interviewed in May 2024.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about your self?
  • Q2. What is maths and stats
  • Ans. 

    Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.

    • Maths involves the study of numbers, quantities, shapes, and patterns.

    • Stats involves collecting, analyzing, interpreting, and presenting data.

    • Maths is used to solve equations, calculate probabilities, and model real-world phenomena.

    • Stats is used to make informed decisions, draw conclusions, and test hypotheses.

    • Both ma...

  • Answered by AI
Round 2 - Coding Test 

Confusion matrix what are your job rolls explain me Gradient boosting algorithm?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be very serious on every answer
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Number of Duplicate words in a string
  • Ans. 

    Count the number of duplicate words in a string.

    • Split the string into words using a delimiter like space or punctuation.

    • Create a dictionary to store the count of each word.

    • Iterate through the words and increment the count in the dictionary.

    • Count the number of words with count greater than 1 as duplicates.

  • Answered by AI
  • Q2. Chunking in LLM
  • Ans. 

    Chunking in LLM refers to breaking down text into smaller chunks for better processing by the language model.

    • Chunking helps improve the efficiency of the language model by breaking down large text inputs into smaller segments.

    • It can help the model better understand the context and relationships within the text.

    • Chunking is commonly used in natural language processing tasks such as text summarization and sentiment analys

  • Answered by AI

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Machine learning related questions and the theory of its operation

Tech Mahindra Interview FAQs

How many rounds are there in Tech Mahindra Data Scientist interview?
Tech Mahindra interview process usually has 2 rounds. The most common rounds in the Tech Mahindra interview process are One-on-one Round, Technical and Resume Shortlist.
How to prepare for Tech Mahindra Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Tech Mahindra. The most common topics and skills that interviewers at Tech Mahindra expect are Python, Machine Learning, Data Science, Deep Learning and SQL.
What are the top questions asked in Tech Mahindra Data Scientist interview?

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

  1. What is linear regression? How to process data? Explain KLM algorit...read more
  2. What is the context window in L...read more
  3. What are regex patterns in pyt...read more

Tell us how to improve this page.

Tech Mahindra Data Scientist Interview Process

based on 9 interviews

Interview experience

4.3
  
Good
View more
Tech Mahindra Data Scientist Salary
based on 365 salaries
₹4 L/yr - ₹14 L/yr
31% less than the average Data Scientist Salary in India
View more details

Tech Mahindra Data Scientist Reviews and Ratings

based on 23 reviews

3.7/5

Rating in categories

4.2

Skill development

3.8

Work-life balance

3.4

Salary

3.5

Job security

3.5

Company culture

3.2

Promotions

3.9

Work satisfaction

Explore 23 Reviews and Ratings
Data Scientist

Hyderabad / Secunderabad,

Pune

+1

6-11 Yrs

Not Disclosed

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