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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 Referral and was interviewed in Jun 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. It was discussion on how to you did your project.and gave some scenario

Interview Preparation Tips

Interview preparation tips for other job seekers - Initially the time decided as 11 am,when i joined the interviewer told he has some urgent call.so he will call e at 3 pm in same link.
I was ok, because i need job,then he called a t 3 pm and he did not even bothered to say thanks,and asked the question and he just rejected i do not what was the issue.i said all the answer.
i have taken interview of many candidate we need to look the attitude of candidate and his willing to achieve success and how he will deliver good result to organization.

The interviewer should think that they also gained knowledge because somebody gave them opportunity.

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 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
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Its medium test checking BA

Round 2 - One-on-one 

(2 Questions)

  • Q1. Project details
  • Q2. What are RFPs and where do we use them
  • Ans. 

    RFPs are Requests for Proposals used to solicit bids from vendors for a project or service.

    • RFPs outline project requirements, timelines, and evaluation criteria

    • They are used in procurement processes to select the best vendor

    • Commonly used in industries like construction, IT, and consulting

    • Examples include government agencies issuing RFPs for infrastructure projects

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Expectation for salary
  • Ans. 

    I am looking for a competitive salary that reflects my skills and experience in the industry.

    • Research industry standards for Business Analyst salaries

    • Consider your level of experience and expertise

    • Factor in the cost of living in the area where the job is located

    • Be prepared to negotiate based on the job responsibilities and benefits package

  • Answered by AI
  • Q2. List of required docs
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Ans. 

    I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.

    • I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.

    • I am proficient in using statistical software such as R and Python for data analysis.

    • I have experience in conducting market research and creating reports to help businesses make informed decisions.

    • I am a q...

  • Answered by AI
  • Q2. What do you know about our client
  • Ans. 

    Our client is a multinational technology company specializing in software development and cloud services.

    • Our client is known for their popular operating system used by millions of people worldwide.

    • They offer a wide range of productivity software and cloud services for businesses and individuals.

    • The company was founded in the 1970s by Bill Gates and Paul Allen.

    • They are also involved in hardware products such as laptops,

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Good
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Sep 2024. There were 3 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Prior Experience
  • Q2. Capital Market, Hedge Fund
  • Q3. Derivatives, Scenario-based question
Round 2 - Technical 

(5 Questions)

  • Q1. Prior Experience
  • Q2. How do you handle escalations?
  • Ans. 

    I handle escalations by addressing the issue promptly, involving necessary stakeholders, and providing regular updates.

    • Address the issue promptly to prevent further escalation

    • Involve necessary stakeholders to gather input and support

    • Provide regular updates to all parties involved to ensure transparency and progress

    • Implement solutions to prevent similar escalations in the future

  • Answered by AI
  • Q3. What was the toughest escalation I have ever managed
  • Q4. Excel - Index, Match, Lookups - XLookup, VLookup, HLookup
  • Q5. Job Description
Round 3 - One-on-one 

(5 Questions)

  • Q1. Long term vs short-term securities
  • Ans. 

    Long-term securities are investments held for an extended period, while short-term securities are held for a shorter duration.

    • Long-term securities typically have maturity dates of over one year, such as bonds or stocks.

    • Short-term securities have maturity dates of one year or less, like Treasury bills or certificates of deposit.

    • Long-term securities offer higher potential returns but also higher risk, while short-term se...

  • Answered by AI
  • Q2. Data analysis, vizualization
  • Q3. Yield to Maturity, the relationship between yield and interest
  • Ans. 

    Yield to Maturity is the total return anticipated on a bond if it is held until it matures.

    • Yield to Maturity is the annual rate of return an investor can expect to earn if the bond is held until it matures.

    • It takes into account the bond's current market price, par value, coupon interest rate, and time to maturity.

    • Yield to Maturity helps investors compare different bonds and make informed investment decisions.

    • For exampl...

  • Answered by AI
  • Q4. About my project
  • Q5. Job Description

Interview Preparation Tips

Topics to prepare for Apexon Analyst interview:
  • Derivatives
  • Bonds
  • Job Description
  • Experience
  • Scenario based questions

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

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

Tiger Analytics Data Science Analyst Reviews and Ratings

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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