Data Science Intern

Data Science Intern Interview Questions

Updated 20 Jun 2024

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Interview Questions

  • Q1. The questions were based on linux,networking,and they asked us to choose a programming language and based on that they asked mcqs in the exam on the programming language we choose and then it consisted 10-15 bits for each topic if the people got more marks in it they got selected for further rounds

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  • Q2. The interviewer was very friendly and he asked 2 coding problems and they were basic and also asked about the technologies i mentioned in resume and questions on that technology and asked about the cloud concepts

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  • Q3. I haven't reached to this round and based on my friends feedback in this round they haven't asked anything just background verification.

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Interview Questions

  • Q1. Simple coding statements like find repeated elements from an array, difference between for and while loop, cases where we will use while and for loop etc.

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  • Q2. Machine learning related questions about vectorization, ML libraries, and some questions based on my ML projects.

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  • Q3. Introduce yourself and the projects I have developed so far along with my acquired skills

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  • Q4. SQL terminologies like primary key, foreign key and problems like second highest salary etc.

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  • Q5. Some basic questions about react js and databases

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Interview Questions

  • Q1. What is gradient descent, why does gradient descent follow tan angles and please explain and write down the formula of it.

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  • Q2. Pretty hard technical interview from formulae behind algorithms to math to algorithms touched the sight of all basic data science questions that are supposed to be asked on data science interview

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  • Q3. Managerial Technical round asked some basic level coding questions and data handling with lists, tuples, sets and dicts.

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  • Q4. Please write a dictionary and try to sort it.

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Interview Questions

Interview Questions

  • Q1. Real-time scenarios for Data science usage General knowledge about machine learning Pandas library related questions

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  • Q2. What motivated to you too choose data science?

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  • Q3. Different types of algorithms used in e-commerce companies

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  • Q4. It's your knowledge check on what written in resume. Hard to crack but not tough

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  • Q5. Market basket analysis algorithm

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Interview Questions

  • Q1. Get Second highest element from an array (duplicates elements are allowed). Required T.C-->O(N) Single traversal. S.C--->O(1)

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  • Q2. Coffiecent of x^7 in equation ? y=(x^101-1)(x^100+1)(x^99-1)...........................................(X^0+1)

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  • Q3. Some more probabilty and statistic questions exactly didn't remember.

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  • Q4. Sort nearly sortes array.

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Interview Questions

  • Q1. It was a technical interview . Mostly focussed on data science machine learning alogorithms. Also do prepare case studies.

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  • Q2. Explain Random forest. What is gini impurity.

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  • Q3. One coding question (best time to buy and sell stock leetcode easy version).

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  • Q4. One case study data science senario based case study.

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Interview Questions

Interview Questions

  • Q1. Data science is most frequent technology And growing abroad for the future and take decision easy way

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  • Q2. Some of the python code which, is easy to work with

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  • Q3. More about python, ML and Analytics parts

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  • Q4. Machine Learning and projects I have worked with.

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Interview Questions

  • Q1. Mostly about machine learning algorithms and deep learning, python concepts and tricky ques and basic sql questions

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  • Q2. This round had general model related ML questions and deep learning questions

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  • Q3. ask questions related to training ml model

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