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TuringMinds Data Science Intern Interview Questions and Answers
TuringMinds Data Science Intern Interview Experiences
4 interviews found
Jeevan Kumar
Selected
I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.
Basic questions that can be solved
(2 Questions)
- Q1. Tell me about your self
- Q2. Famly background
Interview Preparation Tips
Anonymous
Selected
I applied via Campus Placement and was interviewed in Mar 2023. There were 4 interview rounds.
It was simple aptitude test consisting topics like algebra, English, logical reasoning
(2 Questions)
- Q1. Basic coding questions and whatever is in your resume
- Q2. What is the difference between call by reference and call by value
- Ans.
Call by value passes a copy of the value while call by reference passes the address of the value.
Call by value passes a copy of the value while call by reference passes the address of the value.
Call by value does not modify the original value while call by reference can modify the original value.
Call by value is used for simple data types while call by reference is used for complex data types.
(2 Questions)
- Q1. Basic questions about future goals and your willingness to work for them
- Q2. Why do you want to pursue data science
- Ans.
I want to pursue data science because of my passion for analyzing and interpreting data to solve complex problems.
I enjoy working with data and finding patterns and insights
I want to use my skills to help businesses make data-driven decisions
Data science is a rapidly growing field with endless opportunities
I have experience in programming and statistics, which are essential skills for data science
For example, I have wo...
Interview Preparation Tips
Skills evaluated in this interview
Selected
I was interviewed in Sep 2022.
It was basic aptitude test it's not that hard
(2 Questions)
- Q1. Why do you want this job
- Q2. Where do you see yourself
Interview Preparation Tips
Selected
I applied via Campus Placement and was interviewed before Jan 2023. There were 2 interview rounds.
Written test with English and numerical aptitude
(1 Question)
- Q1. Basic details and some technical questions
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Sayantan Ghosh
Interview Questionnaire
1 Question
- Q1. What friends think of you?
- Ans.
My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
Interview Preparation Tips
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.
Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.
College Name: NIT Durgapur
Interview Preparation Tips
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?
Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.
Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".
General aptitude basics
Mcq and basic ml model building
Interview Preparation Tips
I applied via Approached by Company
(3 Questions)
- Q1. Explain Transformers how different from previous RNN, LSTM etc.
- Ans.
Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.
Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.
Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.
Transformers have been shown ...
- Q2. What are different types of Attention?
- Ans.
Different types of Attention include self-attention, global attention, and local attention.
Self-attention focuses on relationships within the input sequence itself.
Global attention considers the entire input sequence when making predictions.
Local attention only attends to a subset of the input sequence at a time.
Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.
- Q3. Difference between GPT and BERT model
- Ans.
GPT is a generative model while BERT is a transformer model for natural language processing.
GPT is a generative model that predicts the next word in a sentence based on previous words.
BERT is a transformer model that considers the context of a word by looking at the entire sentence.
GPT is unidirectional, while BERT is bidirectional.
GPT is better for text generation tasks, while BERT is better for understanding the cont
(1 Question)
- Q1. Difference between Data scientist, ML and AI
- Ans.
Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.
Data scientists analyze large amounts of data to uncover patterns and insights.
Machine learning involves developing algorithms that improve automatically through experience.
Artificial intelligence r...
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Sep 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. There is online test is totally on SQL please prepare for SQL. There are 3 rounds in which first online test based on sql then 2nd is technical round and 3rd Manager round. Technical round on sql and machi...
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
Easy to solve if you have basic mathematics understanding.
They will test your presence of mind and thinking.
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