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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 appeared for an interview 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
TuringMinds interview questions for designations
Top trending discussions
Interview questions from similar companies
(1 Question)
- Q1. Basic python and machine learning questions
(1 Question)
- Q1. Salary expectation and working location related questions and why you want to join wipro
Interview Preparation Tips
I applied via Campus Placement
(1 Question)
- Q1. ML and deep learning questions
(2 Questions)
- Q1. Projects discussion
- Q2. Chatgpt architecture
Selected
I appeared for an interview in Dec 2023.
English, number system, grammar
Python , data science, machine learning
Python machine learning, natural language precossing
(4 Questions)
- Q1. Python , Data Science, SQL
- Q2. What is python basics, libraries
- Ans.
Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.
Python basics cover syntax, variables, data types, and control structures.
NumPy is a library for numerical computing, providing powerful array operations.
Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.
Matplotlib is a libr...
- Q3. Data science algorithms , and theory
- Q4. Sql querys, cluases
Indian environment, village, college days
(1 Question)
- Q1. Python, data science
Basic DSA questions will be asked Leetcode Easy to medium
(2 Questions)
- Q1. BERT vs LSTM and their speed
- Ans.
BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.
BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.
BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.
For exa...
- Q2. What is multinomial Naive Bayes theorem
- Ans.
Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.
It is commonly used in text classification tasks, such as spam detection or sentiment analysis.
It is suitable for features that represent counts or frequencies, like word counts in text data.
It calculates the probability of each class given the input features and selects the class with the
Skills evaluated in this interview
Arbaz Ali
Selected
I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.
(3 Questions)
- Q1. How many working days
- Q2. Company give another benefit
- Q3. Work load is high or low
Selected
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Some basic aptitude questions were asked , but had to be solved in 20 minutes
Medium level 2 leet code questions were asked and i cleared both
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Rating in categories
|
Data Scientist
151
salaries
|  ₹3 L/yr - ₹8 L/yr |
|
Data Scientist Trainee
52
salaries
| ₹1.2 L/yr - ₹7 L/yr |
|
Data Science Trainee
23
salaries
| ₹4 L/yr - ₹6.3 L/yr |
|
Machine Learning Engineer
12
salaries
| ₹5 L/yr - ₹7 L/yr |
|
Data Analyst
9
salaries
| ₹4 L/yr - ₹6.5 L/yr |
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