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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 Resume 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

 (18)

 Senior Data Analyst

 (6)

 Senior Data Scientist

 (4)

 Lead Data Scientist

 (2)

 Data Science Intern

 (1)

 Data Science

 (1)

 Analytics Consultant

 (1)

I was interviewed 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

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

(1 Question)

  • Q1. Basic QA related Questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 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 - Technical 

(1 Question)

  • Q1. Python, Django questions Easy to Medium level DSA Discussion on Project and previous work experience Some SQL queries
Round 3 - Technical 

(1 Question)

  • Q1. Some Python questions and discussion on work experience Some design question like how you will design backend for some project from scratch Some managerial questions Questions on git
Round 4 - HR 

(1 Question)

  • Q1. Some basic HR questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Spark and airflow related questions
  • Q2. AWS services and it's related questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(4 Questions)

  • Q1. Components of Databricks
  • Ans. 

    Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.

    • Databricks Workspace: Collaborative environment for data science and engineering teams.

    • Databricks Runtime: Optimized Apache Spark cluster for data processing.

    • Databricks Delta: Unified data management system for data lakes.

  • Answered by AI
  • Q2. How to read a json file
  • Ans. 

    To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.

    • Use a programming language like Python, Java, or JavaScript to read the JSON file.

    • Import libraries like json in Python or json-simple in Java to parse the JSON data.

    • Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.

    • Access the data in the JSON fi...

  • Answered by AI
  • Q3. Second highest salary SQL
  • Ans. 

    To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.

    • Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.

    • Alternatively, use the LIMIT clause to select the second highest salary directly.

    • Make sure to handle cases where there may be ties for the highest salary.

  • Answered by AI
  • Q4. How to configure the spark while creating the cluster
  • Ans. 

    Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.

    • Specify the number of executors and executor memory

    • Set the number of cores per executor

    • Adjust the driver memory based on the application requirements

    • Configure shuffle partitions for efficient data processing

    • Enable dynamic allocation for better resource utilization

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. NLP based question
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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 Machine Learning, Python, 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

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Tiger Analytics Machine Learning Engineer Interview Process

based on 4 interviews

Interview experience

4.5
  
Good
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Tiger Analytics Machine Learning Engineer Salary
based on 93 salaries
₹9 L/yr - ₹24.6 L/yr
59% more than the average Machine Learning Engineer Salary in India
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based on 11 reviews

3.7/5

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3.8

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3.4

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3.5

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3.4

Job security

3.9

Company culture

3.3

Promotions

3.6

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