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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 Resume 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.

Sopra Steria

Rated 4 for Job Security by our employees on AmbitionBox

Secure your future with a company that values your job stability.

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 Resume 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 was interviewed 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 Resume 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 Referral and was interviewed in May 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Explain your project in PowerBI.
  • Q2. What is Append and Merge?
  • Ans. 

    Append and Merge are two methods used to combine data from multiple sources into a single dataset.

    • Append adds new rows to an existing dataset.

    • Merge combines two or more datasets based on a common column or key.

    • Append is useful when adding new data to an existing dataset, while Merge is useful for combining datasets with related information.

    • Example: Appending new sales data to an existing sales dataset.

    • Example: Merging ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Since I applied for the role of PowerBI developer, I was asked questions on PowerBI and statistics which mainly included probability.

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Sep 2022. There were 3 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 Resume tips
Round 2 - Coding Test 

SQL test has been conducted nearer to 12-15 questions.

Round 3 - HR 

(2 Questions)

  • Q1. Normal discussion, about salary negotiation
  • Q2. Asked about my past company experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Best of luck.
They have lots of opportunities.....................

Interview Questionnaire 

1 Question

  • Q1. Interview proceas was very nice. They asked question based CV and the interviewers made very comfortable throughout the process
Round 1 - Aptitude Test 

Go for general aptitude questions.

Round 2 - One-on-one 

(1 Question)

  • Q1. Go through SQL basics first and then coding basics.

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your expectations firm and answer quickly.

I applied via Referral and was interviewed before Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Round 1: Was asked to solve a basic problem using python Concepts of ML, specifically Linear Regression Round 2: Simple case study and puzzles Round 3: Another simple case study and generic conversation...

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident. Brush up the basics. Communicate your ideas and approach clearly.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Aptitude Test 

General aptitude questions

Round 2 - Group Discussion 

Was given a topic and asked to talk about for 2 mins

Round 3 - HR 

(2 Questions)

  • Q1. Why LatentView?
  • Ans. 

    LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.

    • LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.

    • The company values continuous learning and development, providing employees with opportunities to enhance their skills.

    • LatentView offers a collaborative work culture where employees can work on divers...

  • Answered by AI
  • Q2. What do you expect from us?
  • Ans. 

    I expect a supportive work environment, opportunities for growth, and clear communication.

    • Supportive work environment where I can collaborate with team members

    • Opportunities for growth and advancement within the company

    • Clear communication regarding expectations, feedback, and goals

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

I applied via Newspaper Ad

Round 1 - Coding Test 

Basic coding questins

Round 2 - Technical 

(1 Question)

  • Q1. All based on my project

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare all Data science topics
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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

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Tiger Analytics Data Science Analyst Interview Process

based on 2 interviews

1 Interview rounds

  • Resume Shortlist Round
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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

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