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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
5
Excellent
Difficulty level
-
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 

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.
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

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 appeared for an interview in Oct 2021.

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 - 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

I applied via LinkedIn and was interviewed before Mar 2021. There were 4 interview rounds.

Round 1 - Case Study 

This will be a telephonic round

Round 2 - Case Study 

This will be a zoom call and referred to as Tech 1

Round 3 - Case Study 

This will be a zoom call and referred to as Tech 2

Round 4 - Leadership and Social Round 

(1 Question)

  • Q1. To evaluate you as an organizational fit and assess your leadership quality

Interview Preparation Tips

Interview preparation tips for other job seekers - Apply product thinking to solve the business problems

I applied via Referral and was interviewed before Nov 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. How will you approach a problem

Interview Preparation Tips

Interview preparation tips for other job seekers - just keep calm. It went good as expected.

Interview Questionnaire 

1 Question

  • Q1. Case study to solve a problem
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Case Study 

Provided sales case study, asked to analyse the same ans provide insights

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Jun 2023. There were 5 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Describe your current role
Round 2 - Case Study 

Case study on ecommerce system

Round 3 - Case Study 

Case study on path lab

Round 4 - Social justice 

(1 Question)

  • Q1. Your inputs on women rights
Round 5 - leadership round 

(1 Question)

  • Q1. How do you resolve conflicts
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Logical reasoning and critical thinking

Round 2 - Assignment 

Case study to test appraching problem statement and solutioning, consensus building and prioritization

Interview Preparation Tips

Interview preparation tips for other job seekers - Engage with interviewer by sharing thought process while u come up with your pov
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Tableau interview questioins
  • Q2. SQl based quetions

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 72 salaries
₹6 L/yr - ₹13 L/yr
23% less than the average Data Science Analyst Salary in India
View more details

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based on 8 reviews

1.9/5

Rating in categories

3.0

Skill development

3.0

Work-life balance

2.5

Salary

1.7

Job security

1.7

Company culture

1.6

Promotions

1.8

Work satisfaction

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