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Tiger Analytics Machine Learning Engineer Interview Questions and Answers

Updated 23 Jul 2024

Tiger Analytics Machine Learning Engineer Interview Experiences

5 interviews found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Python question on list comprehension
  • Q2. Python related questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Focus more on python funda,ental and spark

Round 2 - Assignment 

They will ask more on datarbcisk related stuff

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well on python and prepare databricks adf and devops

Machine Learning Engineer Interview Questions Asked at Other Companies

Q1. Find Permutation Problem Statement Given an integer N, determine ... read more
Q2. Maximum Number by One Swap You are provided with an array of N in ... read more
Q3. Subset Sum Equal To K Problem Statement Given an array/list of po ... read more
Q4. Paths in a Matrix Problem Statement Given an 'M x N' matrix, prin ... read more
Q5. What is over-fitting and under-fitting? How do you deal with it?
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn 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 - Coding Test 

It was 1 hour coding test with 2 questions. One was easy and another was medium level coding question.

Round 3 - Technical 

(3 Questions)

  • Q1. Few SQL Queries
  • Q2. Explain null hypothesis and p-value in terms of probability
  • Ans. 

    Null hypothesis is a statement that assumes no relationship or difference between variables. P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true.

    • Null hypothesis is a statement that assumes no effect or relationship between variables

    • P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true

    • Null hy...

  • Answered by AI
  • Q3. Explain Linear and Logistic Regression
  • Ans. 

    Linear regression is used for predicting continuous numerical values, while logistic regression is used for predicting binary categorical values.

    • Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.

    • Logistic regression models the probability of a binary outcome using a logistic function.

    • Linear regression is used for tasks like predicting hou...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • SQL
  • Machine Learning
  • Data Science
  • Python
Interview preparation tips for other job seekers - Prepare for data science related questions and basic machine learning algorithms (Decision tree, PCA, etc.). Also prepare for SQL queries.

Skills evaluated in this interview

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 Jun 2023. There was 1 interview round.

Round 1 - Coding Test 

4 technical questions, 1 python code, 2 SQL, 1 Spark

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • Spark
  • SQL
  • Python
  • Hadoop
  • Hive
Interview preparation tips for other job seekers - Be confident and good in your skills

Tiger Analytics interview questions for designations

 Machine Learning and Python Developer

 (1)

 Data Scientist

 (19)

 Senior Data Analyst

 (6)

 Senior Data Scientist

 (4)

 Lead Data Scientist

 (2)

 Analytics Consultant

 (1)

 Data Science Intern

 (1)

 Data Science

 (1)

I appeared for an interview in Jun 2017.

Interview Questionnaire 

3 Questions

  • Q1. Tell me about about yourself?
  • Ans. 

    I am a passionate Machine Learning Engineer with a background in computer science and a strong interest in AI technologies.

    • Background in computer science

    • Experience in machine learning

    • Passionate about AI technologies

  • Answered by AI
  • Q2. Tell about your academic or your hands on projects in which you are involved?
  • Ans. 

    I have worked on projects involving natural language processing, computer vision, and predictive modeling.

    • Developed a sentiment analysis model using NLP techniques

    • Implemented a facial recognition system using computer vision algorithms

    • Built a predictive model for customer churn prediction

  • Answered by AI
  • Q3. Expected CTC?

Interview Preparation Tips

Round: Resume Shortlist
Experience: This round was "General Introduction Round" in which we have to introduce about our self-tell about hobbies and our family background and some lines about our hometown.
Tips: Just be confident and speak loudly and boldly.

Round: Test
Experience: It was online coding round via skype in which 5 questions were given out of which we have to do any 2.
Tips: "More you will practice more you will learn".
Duration: 20 minutes
Total Questions: 5

Round: Technical + HR Interview
Experience: This round was a combo with both technical and job questions. Questions were asked from my resume, basics questions in technical, general definitions and major questions from my project.
Tips: Specifically for Engineers searching for Data Scientist or Machine Learning based jobs, focus on your projects have done and do involve in the projects either on GitHub or haggle.
Clear your basic concepts and have a good knowledge of programming language like Python, R etc.

College Name: IIIT Bhubaneswar

Interview questions from similar companies

I applied via Naukri.com and was interviewed before Jan 2021. 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 tips
Round 2 - Technical 

(2 Questions)

  • Q1. Kafka architecture and APIs
  • Q2. Java and microservices

Interview Preparation Tips

Topics to prepare for Apexon Senior Software Engineer interview:
  • Java
  • Devops
  • Cloud Computing
Interview preparation tips for other job seekers - Keep your concepts clear and your answers precise.

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

Interview Questionnaire 

1 Question

  • Q1. Core java question. and basic question on angular 8. Difference between promise and graph

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic.

I applied via Approached by Company and was interviewed before Apr 2021. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Technical interview with my primary skill set Where all details asked about technology And given one program to do using primary skill
Round 2 - HR 

(1 Question)

  • Q1. Salary Discussion Questions about why to change org And More specific to HR questions About yourself
Round 3 - Managiral 

(1 Question)

  • Q1. Question about last project work About Yourself

Interview Preparation Tips

Interview preparation tips for other job seekers - Company is growing with different skillset and domain

I applied via Recruitment Consulltant and was interviewed before Oct 2021. 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 - Coding Test 

They will ask you simple programs to check your logical abilities.

Round 3 - HR 

(2 Questions)

  • Q1. Normal Salary discussion round
  • Q2. Questions about family and location

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well whatever you have mentioned in your resume and be confident about it.

I applied via Referral and was interviewed in Oct 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. DS Questions 1. kth largest element. 2. Implement merge sort
  • Q2. Springboot basics, oops, collection api

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepeare DS well

Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Machine Learning Engineer interview?
Tiger Analytics interview process usually has 1-2 rounds. The most common rounds in the Tiger Analytics interview process are Coding Test, Technical and Resume Shortlist.
How to prepare for Tiger Analytics Machine Learning Engineer 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 Tiger Analytics. The most common topics and skills that interviewers at Tiger Analytics expect are Python, Machine Learning, Deployment, AWS and Azure.
What are the top questions asked in Tiger Analytics Machine Learning Engineer interview?

Some of the top questions asked at the Tiger Analytics Machine Learning Engineer interview -

  1. Explain null hypothesis and p-value in terms of probabil...read more
  2. Explain Linear and Logistic Regress...read more
  3. Few SQL Quer...read more

Tell us how to improve this page.

Tiger Analytics Machine Learning Engineer Interview Process

based on 4 interviews

Interview experience

4.5
  
Good
View more

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Tiger Analytics Machine Learning Engineer Salary
based on 102 salaries
₹8 L/yr - ₹24.6 L/yr
53% more than the average Machine Learning Engineer Salary in India
View more details

Tiger Analytics Machine Learning Engineer Reviews and Ratings

based on 11 reviews

3.4/5

Rating in categories

3.5

Skill development

3.3

Work-life balance

3.3

Salary

3.4

Job security

3.6

Company culture

3.1

Promotions

3.5

Work satisfaction

Explore 11 Reviews and Ratings
Machine Learning Engineer (MLOPS)

Hyderabad / Secunderabad,

Chennai

+1

3-8 Yrs

Not Disclosed

Machine Learning Engineer

Hyderabad / Secunderabad,

Chennai

+1

5-9 Yrs

Not Disclosed

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