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ResMed Data Scientist Interview Questions and Answers

Updated 27 Apr 2024

ResMed Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Coding Test 

2 questions based on coding

Round 2 - Technical 

(2 Questions)

  • Q1. Reverse a string
  • Ans. 

    Reverse a given string

    • Use built-in functions like reverse() or slice() in Python

    • Iterate through the string in reverse order and append each character to a new string

    • Convert the string to an array of characters, reverse the array, then join the characters back together

  • Answered by AI
  • Q2. Linked list in java
  • Ans. 

    A linked list is a data structure in Java where each element points to the next element in the list.

    • Linked list nodes contain data and a reference to the next node

    • Insertion and deletion operations are efficient in linked lists

    • Traversal requires iterating through each node starting from the head

    • Example: Node class with data and next pointer, LinkedList class with methods to insert, delete, and traverse

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe a decision tree
  • Ans. 

    A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.

    • It is a tree-like structure with nodes representing decisions and branches representing outcomes

    • Each node has a condition that determines which branch to follow

    • It is commonly used in machine learning for classification and regression tasks

    • Example: A decision tree for predicting whether a customer will bu...

  • Answered by AI
  • Q2. What is random forest
  • Ans. 

    Random forest is an ensemble learning method for classification, regression and other tasks.

    • Random forest builds multiple decision trees and combines their outputs to improve accuracy.

    • It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

    • Random forest can be used for both classification and regression tasks.

    • It is resistant to overfitting and can handle missing data.

    • Exa...

  • Answered by AI
  • Q3. What is neural network
  • Ans. 

    Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.

    • Consists of layers of interconnected nodes that process information

    • Used for tasks such as image recognition, natural language processing, and prediction

    • Can be trained using supervised, unsupervised, or reinforcement learning

    • Examples include convolutional neural networks, recurrent neural networks, and deep n

  • Answered by AI
Round 2 - Coding Test 

Leetcode style coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare deep learning and AI. Practice leetcode

Skills evaluated in this interview

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

2 leetcode easy questions were asked

Round 2 - Case Study 

Data science case study

Round 3 - HR 

(1 Question)

  • Q1. Why would you join us

I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest

    • Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf

    • ROC curve is a graphical representation of...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - My advice would be to search on Google regarding "100 data science interview questions" or something like it, and as you go through each question and its answer, just search the Wikipedia or Google for each concept for a little more depth. As for Python coding questions, most questions in such interviews are asked only about the Pandas library of Python. So try to study how to use Pandas to manipulate data. A good reference is the Python For Data Analysis book by Wes McKinney, whose free PDF is most probably available online on Google.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

15 statistical and logical questions

Round 2 - Coding Test 

2 easy to medium coding problmes. e.g. swapping the array.

Round 3 - Technical 

(2 Questions)

  • Q1. What is regression ? how it works
  • Ans. 

    Regression is a statistical method used to analyze the relationship between variables and predict outcomes.

    • Regression models the relationship between a dependent variable and one or more independent variables.

    • It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.

    • Examples include linear regression, polynomial regression, and logistic regression.

  • Answered by AI
  • Q2. Questions on recent projects
Round 4 - HR 

(1 Question)

  • Q1. Basic back ground check

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions related to Python , ML, Deep Learning and resume based questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Project related
Round 3 - HR 

(1 Question)

  • Q1. Usual HR questions

I applied via Walk-in and was interviewed before Sep 2019. There were 3 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Why u want to be part of this company?
  • Q2. What motivates u to get a job?
  • Q3. How u manage urself in hectic environment?
  • Ans. 

    I manage myself in a hectic environment by prioritizing tasks, staying organized, and practicing stress management techniques.

    • Prioritize tasks based on urgency and importance

    • Break down complex tasks into smaller, manageable steps

    • Use tools like to-do lists, calendars, and reminders to stay organized

    • Practice time management techniques, such as setting deadlines and allocating specific time slots for different tasks

    • Take s...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Not be so Over confident, Employer might trick u with his questions, But stick to u r opinion
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What time intelligence functions can be used for ytd and qtd analysis
  • Ans. 

    Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.

    • YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.

    • QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.

    • Thes...

  • Answered by AI
  • Q2. Difference between import and direct query
  • Ans. 

    Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.

    • Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.

    • Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.

    • Import is suitable for smaller datasets, while direct query is better for large da

  • Answered by AI

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Sep 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Aptitude Test 

Easy but time limit was the main issue to address

Round 3 - Coding Test 

Hard coding test on hacker earth platform no cameras and plagiarism tester will be on

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and precise ,so be yourself and consider good practice before test
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ResMed Interview FAQs

How many rounds are there in ResMed Data Scientist interview?
ResMed interview process usually has 2 rounds. The most common rounds in the ResMed interview process are Coding Test and Technical.
What are the top questions asked in ResMed Data Scientist interview?

Some of the top questions asked at the ResMed Data Scientist interview -

  1. Reverse a str...read more
  2. Linked list in j...read more

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based on 1 interview

Interview experience

5
  
Excellent
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