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ResMed Data Scientist Interview Questions and Answers
ResMed Data Scientist Interview Experiences
1 interview found
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
2 questions based on coding
(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
- 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
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.
2 leetcode easy questions were asked
Data science case study
(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...
Interview Preparation Tips
Skills evaluated in this interview
I applied via Company Website and was interviewed before May 2021. There was 1 interview round.
(1 Question)
- Q1. Basics of regression, bias variance
Interview Preparation Tips
- python
Associate Scientist Interview Questions & Answers
Herbalife International
Anonymous
posted on 25 Sep 2024
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
(2 Questions)
- Q1. What are the preventive controls you done in previous work?
- Ans.
Implemented preventive controls such as regular equipment maintenance and staff training.
Regularly scheduled equipment maintenance to prevent breakdowns
Provided staff training on proper procedures to prevent errors
Implemented quality control checks throughout the process
Utilized hazard analysis and critical control points (HACCP) principles
- Q2. What do you know about protein powder formulation
- Ans.
Protein powder formulation involves combining various protein sources, flavors, sweeteners, and additives to create a powdered supplement.
Protein powder formulation typically starts with selecting protein sources such as whey, casein, soy, or pea protein.
Flavors like chocolate, vanilla, or strawberry are added to enhance taste and palatability.
Sweeteners like stevia, sucralose, or sugar alcohols may be used to improve ...
(1 Question)
- Q1. Tell about your previous project
I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.
2 leetcode easy questions were asked
Data science case study
(1 Question)
- Q1. Why would you join us
Data Scientist Intern Interview Questions & Answers
Siemens Healthineers
Anonymous
posted on 28 May 2024
(1 Question)
- Q1. Related to core concepts like OS, DBMS and OOPs
I applied via Recruitment Consulltant and was interviewed in Sep 2022. There were 4 interview rounds.
(2 Questions)
- Q1. Random forest splitting mechanisms details
- Ans.
Random forest uses decision trees to split data into subsets based on feature importance.
Random forest builds multiple decision trees and selects the best split based on feature importance.
Each decision tree splits data into subsets based on a randomly selected subset of features.
The best split is determined by minimizing impurity or maximizing information gain.
Random forest can handle missing values and outliers.
Rando...
- Q2. ResNet architecture and skip connection related questions
(2 Questions)
- Q1. OCR related bounding box detection from image
- Q2. Deep learning based questions and details
(2 Questions)
- Q1. Salary discussion, current salary and expected
- Q2. About Optum, why you want to join
Interview Preparation Tips
Skills evaluated in this interview
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...
Interview Preparation Tips
Skills evaluated in this interview
I applied via Company Website and was interviewed before May 2021. There was 1 interview round.
(1 Question)
- Q1. Basics of regression, bias variance
Interview Preparation Tips
- python
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ResMed Data Scientist Interview Process
based on 1 interview
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