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ZS Data Science Associate Interview Questions and Answers
ZS Data Science Associate Interview Experiences
7 interviews found
Anonymous
Selected
I applied via Referral and was interviewed in Mar 2024. There were 3 interview rounds.
I was goven an assignment to work on - code the machine learning solution and present it in slides why I did it, how I did it, the rationale behind my steps and so on.
It was a technical discussion with questions from statistics, my previous projects and so on.
(2 Questions)
- Q1. It was general HR questions.
- Q2. General answers
Selected
I applied via campus placement at National Institute of Technology (NIT), Warangal and was interviewed before Apr 2023. There were 3 interview rounds.
Around 30 MCQs on the Aptitude test plus 2 basic coding questions.
(1 Question)
- Q1. I was asked to give a short presentation on any ML project I worked on and then follow-up questions
(4 Questions)
- Q1. Types of supervised learning problems.
- Ans.
Supervised learning problems involve predicting an output variable based on input data with labeled examples.
Classification: Predicting a categorical label (e.g. spam/not spam)
Regression: Predicting a continuous value (e.g. house prices)
Ranking: Predicting the order of a set of items (e.g. search engine results)
- Q2. Explain Logistic regression.
- Ans.
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.).
It estimates the probability that a given observation belongs to a particular category.
The output of logistic regression is a probability score between 0 and 1.
It uses the logistic functio...
- Q3. Explain Decision Trees.
- Ans.
Decision Trees are a popular machine learning algorithm used for classification and regression tasks.
Decision Trees are a tree-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.
They are easy to interpret and visualize, making them popular for exploratory data analysis.
Decision Trees can handle both numerical and c...
- Q4. Asked 2 puzzles from InterviewBit.
Interview Preparation Tips
- Machine Learning
- Python
Skills evaluated in this interview
Selected
I applied via campus placement at Delhi University - Hindu College and was interviewed before Apr 2023. There were 3 interview rounds.
A test of 10+ questions was conducted online- mostly mcq based but last question had a problem which needed to be solved via coding
(2 Questions)
- Q1. Showed data and asked what analysis can be made from this
- Q2. Asked about the features that can be build on particular healthcare data
(2 Questions)
- Q1. Asked questions about hobbies
- Q2. Strength and weaknesses
Interview Preparation Tips
I applied via campus placement at The LNM Institute of information Technology, Jaipur and was interviewed before Jun 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Basic data science questions
Interview Preparation Tips
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Rohan Arora
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(2 Questions)
- Q1. What is bias v variance tradeoff
- Q2. When should bagging v boosting techniques be used
I applied via Recruitment Consulltant and was interviewed in Jun 2024. There was 1 interview round.
Video questions were asked and around 40 aptitude questions to solve within 12 minutes
Assignment was in word document , need to complete it and submit it post assessing it they will het back to us via mail
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