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Vivatest Research And Development Scientist Interview Questions and Answers
Vivatest Research And Development Scientist Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. What is disintegration?
- Ans.
Disintegration is the process of breaking down or separating into smaller parts or components.
It can occur naturally or be induced by external factors such as heat, pressure, or chemical reactions.
Examples include the disintegration of rocks into smaller particles due to weathering, or the disintegration of a tablet in the digestive system.
Disintegration can also refer to the breakdown of social or political systems.
In...
- Q2. What is difference between capsule and tablet?
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NER training using deep learning
(2 Questions)
- Q1. Describe the approach taken for assignment
- Ans.
I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.
Break down the assignment into smaller tasks to make it more manageable
Set deadlines for each task to stay on track
Regularly check progress to ensure everything is on schedule
Seek feedback from colleagues or supervisors to improve the quality of work
- Q2. Scenario based questions
I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
(1 Question)
- Q1. How to ensure scalability
Selected
I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.
They gave a span of 3 days to build an AI-powered webapp
(2 Questions)
- Q1. How would you go about learning a new skill
- Q2. Experience in cloud technologies
- Ans.
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
Experience in setting up and managing virtual machines, storage, and networking in cloud environments
Knowledge of cloud services like EC2, S3, RDS, and Lambda
Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
(2 Questions)
- Q1. Tell me about yourself
- Q2. Project details and challenges faced in the project
- Ans.
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data from various sources
Performed exploratory data analysis to identify key factors influencing churn
Built and fine-tuned machine learning models to predict customer churn
Challenges included imbalanced data, feature engineering, and model interpretability
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Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed in May 2024. There were 3 interview rounds.
DSA was asked. And general coding language questions were asked. Previous experience based questions were asked.
Machine Learning, Generative AI, Deep learning interview questions. 2 Coding problems based on Algorithms.
(3 Questions)
- Q1. One systems design question was there.
- Q2. Situations based problems was there.
- Q3. Questions on Past experiences.
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Ml based questions, linear regression, classifications, regularizations, clustering based questions
- Q2. Coding test based on a data frame
(2 Questions)
- Q1. Techno managerial round
- Q2. Lots of ML use case based questions
(2 Questions)
- Q1. Interview with Director
- Q2. Questions based on projects done on cv
kiran khaira
(2 Questions)
- Q1. Asked questions related to stats , Senario based. Interviewer was very nice
- Q2. Asked questions on Python Programming and asked for Programs Like How can update List , Asked to Build a Tough Dict , Class etc.
(2 Questions)
- Q1. Why u want to join?
- Q2. What is your future goal?
(2 Questions)
- Q1. Gen AI projects
- Q2. Architecture of projects I worked
(2 Questions)
- Q1. Given a situation how do you handle different cases
- Q2. Given a proab stats question
Interview Preparation Tips
Manish Sharma
(4 Questions)
- Q1. Basics about regression models
- Q2. Basics of PCA, Boosting, bagging
- Q3. People Management
- Q4. Project information from resume
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