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Saras Analytics Data Scientist Interview Questions and Answers
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed before Oct 2023.
2 Interview Rounds
Coding Test Round
Decision tree criteria
One-on-one Round (2 Questions)
- Q1. Decision Tree Criteria Add Answer
- Q2. Assumptions of linear regression View Answers (1)
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
Lakshman Bhavana
Selected
I applied via campus placement at Sastra University and was interviewed in Sep 2024.
2 Interview Rounds
Aptitude Test Round
Along with coding round..there's a communication test at the end
Technical Round (2 Questions)
- Q1. There's ntg to ask about technical for me.. Add Answer
- Q2. Behavioural questions Add Answer
Selected
I applied via Referral and was interviewed in May 2024.
3 Interview Rounds
Coding Test Round
I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.
One-on-one Round (1 Question)
- Q1. Explain the Project undertaken during the research and follow-up questions Add Answer
Technical Round (1 Question)
- Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the...read more View Answers (1)
Interview Preparation Tips
- Python
- Pandas
- SQL
- Machine Learning
Skills evaluated in this interview
I applied via Company Website and was interviewed in Aug 2024.
1 Interview Round
One-on-one Round (2 Questions)
- Q1. Explain the RAG pipeline? View Answers (1)
- Q2. Explain Confusion metrics View Answers (1)
Skills evaluated in this interview
I applied via Company Website and was interviewed in Jun 2024.
2 Interview Rounds
Aptitude Test Round
Basic aptitude , tech aptitude
One-on-one Round (2 Questions)
- Q1. What is overfitting Add Answer
- Q2. How to handle missing values Add Answer
3 Interview Rounds
Aptitude Test Round
DSA and ML, AI, Coding question
One-on-one Round (1 Question)
- Q1. Case study which was easy Add Answer
One-on-one Round (1 Question)
- Q1. In depth questions on ML Add Answer
3 Interview Rounds
Coding Test Round
Given 6 coding qns related to java and html and also ML.
Technical Round (1 Question)
- Q1. Explain abt projects and qns related to ML. View Answers (1)
HR Round (1 Question)
- Q1. Basic hr qns
why straive? Add Answer
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before Mar 2023.
1 Interview Round
One-on-one Round (2 Questions)
- Q1. Past projects of machine learning View Answers (1)
- Q2. Distributed computing and spark questions Add Answer
Skills evaluated in this interview
I applied via Company Website and was interviewed in Sep 2024.
1 Interview Round
One-on-one Round (2 Questions)
- Q1. Scenario based questions Add Answer
- Q2. Video synthesis Add Answer
Selected
I applied via Naukri.com and was interviewed in Oct 2023.
4 Interview Rounds
Coding Test Round
Sql, python, Statistics mcq, Aptitude test. These were medium level questions.
Technical Round (3 Questions)
- Q1. SQL and python, time complexity Add Answer
- Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are n...read more View Answers (2)
- Q3. SQL question
Remove duplicate from a table tab1 View Answers (2)
Case Study Round
Given 2 case studies on data science and asked different possibilities to improve the models.
How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST
Project discussion Round (1 Question)
- Q1. What was last project, tell me in detail.
There were different technical questions related to my project Add Answer
Interview Preparation Tips
All the metrics of evaluating a model.
Linear regression, logestic regression, random forest, decission tree, adaboost, Gradient boosting, XGb in detail.
Recall, precision roc_curve. Auc, f1 score, mse,mae, r2, adjusted r2 score.
Is it possible that r2 score appears in minus
Skills evaluated in this interview
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