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Tiger Analytics Data Scientist Interview Questions and Answers for Experienced
Tiger Analytics Data Scientist Interview Experiences for Experienced
5 interviews found
Anonymous
Python questions moderate to difficult
(2 Questions)
- Q1. Introduction about self
- Ans.
I am a data scientist with a background in statistics and machine learning.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis.
I have worked on projects involving predictive modeling and data visualization.
I am passionate about using data to drive business decisions and solve complex problems.
- Q2. Python basics like list, dictionary
Hacker rank python and SQL coding test
(1 Question)
- Q1. Project experience related questions
Was given a case study to solve for
I applied via Company Website and was interviewed before Nov 2023. There was 1 interview round.
OOPS concept and Dynamic Programming coding challenges
I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
First round - coding assessment
Interview Preparation Tips
- Statistics concepts
- regression
- Classification
Tiger Analytics interview questions for designations
I applied via Referral and was interviewed in Aug 2022. There were 3 interview rounds.
(1 Question)
- Q1. What are the relevant projects in Data science & expertise in whatt all tools & technologies
- Ans.
Relevant projects in Data Science and expertise in tools and technologies
Projects: Predictive modeling, Natural Language Processing, Computer Vision, Recommender Systems, Time Series Analysis
Tools: Python, R, SQL, Tableau, Hadoop, Spark, TensorFlow, Keras, Scikit-learn
Technologies: Machine Learning, Deep Learning, Big Data, Cloud Computing, Data Visualization
(1 Question)
- Q1. He asked only coding question in Python & time duration is less & expectations are pretty unclear .
Interview Preparation Tips
- python
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. There were two rounds of interviews. Both technical. They actually touch base every topic by asking questions out of it. First round- Python fundamental questions on data structures and operations, scenar...
- Q2. Second round is mainly CV based project discussion. They would try to dig out on advanced concepts which could be bit mathematical. You can be honest and skip it rather than quoting it wrong.
Interview Preparation Tips
Astha Agarwal
Selected
I applied via Campus Placement and was interviewed before Oct 2023. There were 3 interview rounds.
The first was a mcq based coding round for campus placement
This was a pairing coding round
(1 Question)
- Q1. Explain different unsupervised algo
- Ans.
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
K-means clustering: partitions data into K clusters based on similarity
Hierarchical clustering: creates a tree of clusters based on similarity
Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components
Association rule mining: discovers interesting relationships between variables in large datasets
Skills evaluated in this interview
I applied via Company Website and was interviewed in Aug 2023. There were 4 interview rounds.
(1 Question)
- Q1. Concepts and tools
Coding on the tools we use
(1 Question)
- Q1. Not cleared the round
Interview Preparation Tips
(1 Question)
- Q1. Questions on MLP, ML
I applied via Naukri.com and was interviewed in Apr 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Difference between probability density function and mass function
- Ans.
Probability density function is for continuous random variables while mass function is for discrete random variables.
Probability density function gives the probability of a continuous random variable taking a certain value within a range.
Mass function gives the probability of a discrete random variable taking a certain value.
Probability density function integrates to 1 over the entire range of the random variable.
Mass ...
Interview Preparation Tips
Tiger Analytics Interview FAQs
Some of the top questions asked at the Tiger Analytics Data Scientist interview for experienced candidates -
The duration of Tiger Analytics Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
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Tiger Analytics Data Scientist Interview Process for Experienced
based on 4 interviews
1 Interview rounds
- Coding Test Round
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Tiger Analytics Data Scientist Reviews and Ratings
based on 65 reviews
Rating in categories
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Senior Analyst
552
salaries
|  ₹8 L/yr - ₹20 L/yr |
|
Data Engineer
532
salaries
| ₹8 L/yr - ₹29 L/yr |
|
Data Scientist
507
salaries
| ₹9 L/yr - ₹28 L/yr |
|
Senior Software Engineer
404
salaries
| ₹7.8 L/yr - ₹19.1 L/yr |
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Data Analyst
270
salaries
| ₹5.9 L/yr - ₹20 L/yr |
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