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Optum Associate Data Analyst Interview Questions and Answers
Optum Associate Data Analyst Interview Experiences
4 interviews found
Anonymous
Selected
I applied via Company Website and was interviewed before Mar 2023. There were 3 interview rounds.
Simple SQL knowledge test contained questions with options
(1 Question)
- Q1. Writing SQL queries mostly based on joins, subquery, window functions. Difficulty level was intermediate
(1 Question)
- Q1. Final round was with the hiring Manager. He/She will test your behavioural skills and whether you are fit for this role.
Selected
I applied via Referral and was interviewed before Apr 2022. There were 2 interview rounds.
(2 Questions)
- Q1. 1. Joins 2. Guesstimates 3. Puzzles
- Q2. Python basics. Read about encapsulation.
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed before Jun 2021. There were 2 interview rounds.
Basic js problems and questions about react and node and angular
(1 Question)
- Q1. Db questions and project and front and backend questions
Interview Preparation Tips
What people are saying about Optum
I applied via Referral and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. SAS and SQL related questions were asked
Interview Preparation Tips
Optum interview questions for designations
Associate Data Analyst Jobs at Optum
Interview questions from similar companies
Selected
I applied via Company Website and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. Basic ML with project experience
- Q2. Statistics and Python coding
Basic quant and apt questions
Run a model of ML or Dl
(1 Question)
- Q1. Check your interpersonal skills
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
Optum Interview FAQs
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Optum Associate Data Analyst Interview Process
based on 2 interviews
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Optum Associate Data Analyst Reviews and Ratings
based on 15 reviews
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