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Dabur Research Foundation Research Scientist 1 Interview Questions and Answers
Dabur Research Foundation Research Scientist 1 Interview Experiences
1 interview found
RACHNA KAUSHIK
(4 Questions)
- Q1. Which dye is used in staining
- Q2. What is cell culture
- Q3. What are my hobbies
- Ans.
My hobbies include hiking, reading, and playing the piano.
Hiking: I enjoy exploring nature trails and challenging myself with different terrains.
Reading: I love getting lost in a good book, especially fiction and mystery genres.
Playing the piano: I find relaxation and joy in creating music and improving my skills.
- Q4. What is difference in plant cell culture and animals cell 6
- Ans.
Plant cell culture involves growing plant cells in a controlled environment, while animal cell culture involves growing animal cells.
Plant cell culture is typically done in a solid or liquid medium containing nutrients and growth hormones.
Animal cell culture is often done in a similar medium, but may require additional factors such as specific growth factors or hormones.
Plant cells have a rigid cell wall, while animal ...
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain any ML model.
- Q2. Create Dataframe from two lists.
Interview Preparation Tips
- Python
- pandas
- ML
I applied via campus placement at National Institute of Technology (NIT), Warangal
1 hour aptitude test
(1 Question)
- Q1. What is one hot encoding
(1 Question)
- Q1. What is your long term goal
Lakshman Bhavana
Selected
I applied via campus placement at Sastra University and was interviewed in Sep 2024. There were 2 interview rounds.
Along with coding round..there's a communication test at the end
(2 Questions)
- Q1. There's ntg to ask about technical for me..
- Q2. Behavioural questions
Data Scientist Interview Questions & Answers
Acuity Knowledge Partners
Anonymous
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain the RAG pipeline?
- Ans.
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria
Red category typically represents data that needs immediate attention or action
Amber category represents data that requires monitoring or further investigation
Green category represents data that...
- Q2. Explain Confusion metrics
- Ans.
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
Confusion matrix is a table that describes the performance of a classification model.
It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.
These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...
Skills evaluated in this interview
(2 Questions)
- Q1. Gen AI projects
- Q2. Architecture of projects I worked
DSA and ML, AI, Coding question
(1 Question)
- Q1. Case study which was easy
(1 Question)
- Q1. In depth questions on ML
Selected
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
SQL, Python coding …
Given 6 coding qns related to java and html and also ML.
(1 Question)
- Q1. Explain abt projects and qns related to ML.
- Ans.
Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
Developing a recommendation system for an e-commerce website
Predicting customer churn for a telecommunications company
Classifying images in a computer vision project
Anomaly detection in network traffic for cybersecurity
Natural language processing for sentiment analysis
(1 Question)
- Q1. Basic hr qns why straive?
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
(2 Questions)
- Q1. Past projects of machine learning
- Ans.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
- Q2. Distributed computing and spark questions
Skills evaluated in this interview
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Dabur Research Foundation Research Scientist 1 Reviews and Ratings
based on 1 review
Rating in categories
|
Research Scientist
36
salaries
|  ₹1.3 L/yr - ₹7.3 L/yr |
|
Senior Research Scientist
33
salaries
| ₹5 L/yr - ₹10 L/yr |
|
Research Scientist II
15
salaries
| ₹3.8 L/yr - ₹5.3 L/yr |
|
Research Trainee
14
salaries
| ₹2.7 L/yr - ₹3.3 L/yr |
|
Research Associate
13
salaries
| ₹1.8 L/yr - ₹4.6 L/yr |
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