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Tiger Analytics Data Science Analyst Interview Questions and Answers

Updated 28 Feb 2023

Tiger Analytics Data Science Analyst Interview Experiences

3 interviews found

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

I applied via Referral and was interviewed before Feb 2022. 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 tips
Round 2 - Coding Test 

Python Coding Questions Revolve around 1 basic and 1 medium level of python and 1-2 Sql Question and MCQ based On Stats, Data Science related topics

Round 3 - One-on-one 

(3 Questions)

  • Q1. Please be Prepared to Discuss Your Experience or the Projects you mentioned on the resume?And why i you have selected this algorithm and all related question related to why?
  • Q2. Whats the evaluation mertics for classification and regression model?bias and variance
  • Ans. 

    Evaluation metrics for classification and regression models are different. Bias and variance are important factors to consider.

    • Classification metrics include accuracy, precision, recall, F1 score, ROC curve, and AUC.

    • Regression metrics include mean squared error, mean absolute error, R-squared, and adjusted R-squared.

    • Bias refers to the difference between the predicted values and the actual values, while variance refers ...

  • Answered by AI
  • Q3. What are decision Trees and All the algorithms that you have used in ur project?
  • Ans. 

    Decision Trees are a type of supervised learning algorithm used for classification and regression tasks.

    • Decision Trees are used to create a model that predicts the value of a target variable based on several input variables.

    • The algorithm splits the data into subsets based on the most significant attribute and continues recursively until a leaf node is reached.

    • Some of the algorithms used in my project include Random For...

  • Answered by AI
Round 4 - HR 

(2 Questions)

  • Q1. Hr will discuss your salary with you and try to get it as high as possible
  • Q2. They will pressurize to join the company as soon as possible such is their tactics

Interview Preparation Tips

Interview preparation tips for other job seekers - Dont Share you salary expectation to ur Hr in the first round only or else mention has high as possible depending on the role. Its they see that the candidate is coming in less salary their will move you to the next round So check your number

Skills evaluated in this interview

Interview experience
5
Excellent
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 tips
Round 2 - Coding Test 

Data Structure medium level questions. Approach important rather final results. Basic understanding of coding.

Round 3 - Technical 

(1 Question)

  • Q1. Coding, data filtering, Machine Learning and Statistics
Round 4 - Technical 

(1 Question)

  • Q1. Machine learning project discussion and your approach.
Round 5 - One-on-one 

(1 Question)

  • Q1. Job description, salary discussion and miscellaneous

Interview Preparation Tips

Interview preparation tips for other job seekers - Continuous practice. Clear theoretical understanding.

Data Science Analyst Interview Questions Asked at Other Companies

asked in Accenture
Q1. How to analyse a problem : Suppose a pizza chain comes to you and ... read more
Q2. Whats the evaluation mertics for classification and regression mo ... read more
Q3. Can we use logistic regression for multi class classification ?
Q4. What are decision Trees and All the algorithms that you have used ... read more
asked in Accenture
Q5. What is PII, give some examples

I was interviewed in Oct 2021.

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 tips
Round 2 - Aptitude Test 

Mcq questions of machine learning and Two python programming questilns

Round 3 - Technical 

(1 Question)

  • Q1. Self introduction ,questions on basic python,sql and statistics

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on python,sql,stattics and machine learning

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Group Discussion 

About the new technologies

Round 2 - Coding Test 

Array questions and

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
-
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 

Basic coding knowledge check and problem solving skills.

Round 3 - Case Study 

About your work and projects

Round 4 - Behavioral 

(1 Question)

  • Q1. Behavior and problem solving.

I applied via Campus Placement and was interviewed in Aug 2021. There were 6 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 - Aptitude Test 

In both aptitude and coding in the second round, aptitude mostly consists of basic problems and there are some data science problems like bias, stats and probability.

Round 3 - Coding Test 

2 coding problems the ones I got are easier didn't take more than 15 minutes to solve both of them.

Round 4 - Technical 

(2 Questions)

  • Q1. Pretty hard technical interview from formulae behind algorithms to math to algorithms touched the sight of all basic data science questions that are supposed to be asked on data science interview
  • Q2. What is gradient descent, why does gradient descent follow tan angles and please explain and write down the formula of it.
  • Ans. 

    Gradient descent is an optimization algorithm used to minimize the cost function of a machine learning model.

    • Gradient descent is used to update the parameters of a model to minimize the cost function.

    • It follows the direction of steepest descent, which is the negative gradient of the cost function.

    • The learning rate determines the step size of the algorithm.

    • The formula for gradient descent is: theta = theta - alpha * (1/...

  • Answered by AI
Round 5 - One-on-one 

(2 Questions)

  • Q1. Managerial Technical round asked some basic level coding questions and data handling with lists, tuples, sets and dicts.
  • Q2. Please write a dictionary and try to sort it.
  • Ans. 

    A dictionary sorted in ascending order based on keys.

    • Create a dictionary with key-value pairs

    • Use the sorted() function to sort the dictionary based on keys

    • Convert the sorted dictionary into a list of tuples

    • Use the dict() constructor to create a new dictionary from the sorted list of tuples

  • Answered by AI
Round 6 - HR 

(6 Questions)

  • Q1. What is your family background?
  • Q2. Why should we hire you?
  • Q3. Where do you see yourself in 5 years?
  • Q4. Why are you looking for a change?
  • Q5. What are your strengths and weaknesses?
  • Q6. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through the Machine learning lectures of Andrew Ng on youtube, you could easily pass the interview if you have a grip on Andrew Ng's lectures.

Skills evaluated in this interview

Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Data Science Analyst interview?
Tiger Analytics interview process usually has 4 rounds. The most common rounds in the Tiger Analytics interview process are Resume Shortlist, Technical and Coding Test.
What are the top questions asked in Tiger Analytics Data Science Analyst interview?

Some of the top questions asked at the Tiger Analytics Data Science Analyst interview -

  1. Whats the evaluation mertics for classification and regression model?bias and ...read more
  2. What are decision Trees and All the algorithms that you have used in ur proje...read more
  3. They will pressurize to join the company as soon as possible such is their tact...read more

Tell us how to improve this page.

Tiger Analytics Data Science Analyst Interview Process

based on 2 interviews

1 Interview rounds

  • Resume Shortlist Round
View more

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Tiger Analytics Data Science Analyst Salary
based on 73 salaries
₹6 L/yr - ₹13 L/yr
25% less than the average Data Science Analyst Salary in India
View more details

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based on 8 reviews

1.9/5

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3.0

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3.0

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2.5

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1.7

Job security

1.7

Company culture

1.6

Promotions

1.8

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