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Tiger Analytics Senior Data Scientist Interview Questions and Answers

Updated 10 Sep 2024

Tiger Analytics Senior Data Scientist Interview Experiences

4 interviews found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2022. 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 tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Difference between Ridge and Lasso regression
  • Ans. 

    Ridge and Lasso regression are both regularization techniques used in linear regression to prevent overfitting.

    • Ridge regression adds a penalty equivalent to the square of the magnitude of coefficients, while Lasso regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.

    • Ridge regression shrinks the coefficients towards zero but never exactly to zero, while Lasso regression can shrink ...

  • Answered by AI
Round 3 - One-on-one 

(1 Question)

  • Q1. Difference between boosting and bagging
  • Ans. 

    Boosting focuses on improving the performance of weak learners sequentially, while bagging uses parallel ensemble learning with bootstrapping.

    • Boosting combines multiple weak learners to create a strong learner by giving more weight to misclassified instances in each iteration.

    • Bagging creates multiple subsets of the training data through bootstrapping and trains each subset independently to reduce variance.

    • Examples: Ada...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Analytics( regression) and basic coding is what you need to prepare

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Python Coding Questions with

Round 2 - Coding Test 

Bubble sort example Question using python

Round 3 - Case Study 

Previous projects based questions

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Q5. How do you handle large amount of data in financial domain?
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Approached by Company and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Coding Test 

The test consisted 1 programming question, 2 SQL questions, 2 Python questions, and 10 ML questions. The difficulty level was from easy to medium range. However, the platform was very slow and it was a timed test. They should either conduct the test in a friendly platform or increase the time allotted for each section.

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Feb 2023. There were 4 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 - Coding Test 

Basic coding questions related to data science

Round 3 - One-on-one 

(1 Question)

  • Q1. How to handle imbalanced data in text analytics?
  • Ans. 

    Imbalanced data in text analytics can be handled by techniques like oversampling, undersampling, and SMOTE.

    • Use oversampling to increase the number of instances in the minority class

    • Use undersampling to decrease the number of instances in the majority class

    • Use SMOTE to generate synthetic samples for the minority class

    • Use cost-sensitive learning algorithms to assign higher misclassification costs to the minority class

    • Use...

  • Answered by AI
Round 4 - One-on-one 

(1 Question)

  • Q1. Business case study related to Data science

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Data Scientist interview:
  • NLP
Interview preparation tips for other job seekers - Since coding is also related to data science would say be confident in all DS-related concepts. Also don't miss out on any concepts in your resume.

Tiger Analytics interview questions for designations

 Data Scientist

 (18)

 Lead Data Scientist

 (2)

 Senior Data Analyst

 (6)

 Senior Data Scientist Analyst

 (1)

 Data Science

 (1)

 Data Science Intern

 (1)

 Senior Data Engineer

 (6)

 Senior Data Science Analyst

 (2)

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Naukri.com

Round 1 - Coding Test 

AWS and Python, basic Machine learning questions

Round 2 - Coding Test 

Python, project description, AWS, in build package

Round 3 - Case Study 

Basic Machine learning data science

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

(2 Questions)

  • Q1. Questions were asked related to ML modelling process
  • Q2. Basic python coding
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is Transformers and how they work
  • Ans. 

    Transformers are models used in natural language processing tasks, known for their ability to handle long-range dependencies.

    • Transformers use self-attention mechanism to weigh the importance of different words in a sentence.

    • They consist of encoder and decoder layers, with each layer containing multi-head attention and feed-forward neural network.

    • Examples of transformer models include BERT, GPT-3, and TransformerXL.

  • Answered by AI
  • Q2. How to train a model with imbalance data
  • Ans. 

    Use techniques like oversampling, undersampling, SMOTE, or ensemble methods to train a model with imbalanced data.

    • Use oversampling to increase the number of minority class samples.

    • Use undersampling to decrease the number of majority class samples.

    • Use Synthetic Minority Over-sampling Technique (SMOTE) to generate synthetic samples for the minority class.

    • Utilize ensemble methods like Random Forest or Gradient Boosting to

  • Answered by AI

Skills evaluated in this interview

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

I applied via campus placement at Thapar Institute of Engineering and Technology (TIET) and was interviewed before Sep 2023. There were 2 interview rounds.

Round 1 - Coding Test 

3 coding questions of data structures

Round 2 - HR 

(2 Questions)

  • Q1. Previous work experience and skills
  • Ans. 

    I have 5 years of experience in data analysis, machine learning, and statistical modeling. Proficient in Python, R, SQL, and Tableau.

    • 5 years of experience in data analysis, machine learning, and statistical modeling

    • Proficient in Python, R, SQL, and Tableau

    • Developed predictive models for customer churn prediction using machine learning algorithms

    • Performed data cleaning, preprocessing, and visualization for large dataset...

  • Answered by AI
  • Q2. Guesstimate about number of flights in India
  • Ans. 

    There are approximately 2.5 million flights in India annually.

    • India is one of the fastest growing aviation markets in the world.

    • Major airports like Delhi, Mumbai, Bangalore, and Chennai handle a large number of flights daily.

    • Airlines like IndiGo, SpiceJet, and Air India operate numerous domestic and international flights.

    • The number of flights has been increasing steadily over the years due to growing demand for air tra

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What are the key topics related to Generative AI, specifically focusing on Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)?
  • Q2. What is your understanding of the existing project and the technology stacks used?
Round 2 - Technical 

(3 Questions)

  • Q1. What has been your contribution to existing work and the technologies used in that context?
  • Q2. ML, DL, Gen AI implementation and flow
  • Q3. Python Coding logic and semantics
Round 3 - One-on-one 

(2 Questions)

  • Q1. What are the existing work challenges you face, and what solutions have you implemented to address them?
  • Q2. What is your understanding of Generative AI and Natural Language Processing (NLP), and can you provide examples of their use cases?

Interview Preparation Tips

Interview preparation tips for other job seekers - Genuinely communicate your skills and contributions.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(3 Questions)

  • Q1. Questions around the previous work
  • Q2. Questions around how re-rank work, and image segmentation,
  • Q3. Questions with podman and docker

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile and brush up your knowledge

Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Senior Data Scientist interview?
Tiger Analytics interview process usually has 2-3 rounds. The most common rounds in the Tiger Analytics interview process are Coding Test, One-on-one Round and Resume Shortlist.
How to prepare for Tiger Analytics Senior Data Scientist 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 Python, Machine Learning, Data Science, Classification and Predictive Modeling.
What are the top questions asked in Tiger Analytics Senior Data Scientist interview?

Some of the top questions asked at the Tiger Analytics Senior Data Scientist interview -

  1. How to handle imbalanced data in text analyti...read more
  2. Difference between Ridge and Lasso regress...read more
  3. Difference between boosting and bagg...read more

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Tiger Analytics Senior Data Scientist Salary
based on 72 salaries
₹15 L/yr - ₹40 L/yr
6% less than the average Senior Data Scientist Salary in India
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4.2/5

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