Chittaranjan National Cancer Institute Interview Questions and Answers

Q1. Basic subject knowledge, previous work, details, and details of previous research.
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Q2. How do you explain the particular topic to students, more cross questions related to subject etc.
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PPT was asked to make and represent(as it was for online teaching). The purpose was to check teaching skills.

Q1. Institutional fit questions like salary, timing, their conditions. may ask one or two questions to check the research and subject. referral of salary goes from this round so they ask salary expectations to...read more
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Q1. HR will call you and tell you the salary, negotiation happens at this stage.
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Quant + Logical + Verbal

Impact of AI on Employment

Q1. Introduce yourself
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Q2. Questions on projects
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Q3. Testing related questions
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Q1. Abcddd do you have!
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Q2. Abcddd Yes i can do it
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Q1. Aa bb vvccd do you have good comm
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Q2. Aa vv ccccd dddddd
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Very Bad. Need to improve the process.

Coding and programming tasks

Q1. Do not want to share
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Q2. No. I don't want to share.
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Q3. Easy question With HR
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Q4. Bad manager approach
Ans. 
A bad manager approach can negatively impact team morale and productivity.
• Lack of communication and transparency

• Micromanaging and not trusting employees

• Failure to provide feedback or recognition

• Playing favorites or showing bias

• Not addressing conflicts or issues in a timely manner
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Q1. Private and management questions
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Human and anatomy question

Q1. Self introduction
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Q2. What is medical coding
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Q3. Basic HAP related question
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Q4. What about medical coding
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Q1. Normal question. HAP
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Asked to solve Basic Python codes in given time

Q1. What is Logistic Regression
Ans. 
Logistic Regression is a statistical method used to model the relationship between a binary outcome variable and one or more predictor variables.
• Logistic Regression is used when the dependent variable is binary (e.g. 0/1, Yes/No, True/False).

• It estimates the probability of a certain event occurring based on one or more independent variables.

• The output of logistic regression is a probability score that can be converted ...read more
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Q2. What is supervised and unsupervised learning
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Supervised learning involves training a model on labeled data, while unsupervised learning involves finding patterns in unlabeled data.
• Supervised learning requires a target variable to be predicted, while unsupervised learning does not.

• Examples of supervised learning include classification and regression tasks, while examples of unsupervised learning include clustering and dimensionality reduction.

• In supervised learnin...read more
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Q3. What is mutability and immutability
Ans. 
Mutability refers to the ability of an object to be changed after it is created, while immutability refers to the inability of an object to be changed once it is created.
• Mutability allows for changes to be made to an object's state, while immutability ensures that an object's state remains constant.

• In programming, mutable objects can be modified directly, while immutable objects require creating a new object with the d...read more
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Q4. Difference between List and Tuple
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List is mutable, Tuple is immutable in Python.
• List can be modified after creation, Tuple cannot be modified

• List is defined using square brackets [], Tuple is defined using parentheses ()

• Example: list_example = [1, 2, 3], tuple_example = (1, 2, 3)
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Q5. What are regression. Explain different types of regression
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Regression is a statistical method used to analyze the relationship between variables. Different types include linear, logistic, polynomial, etc.
• Regression is a statistical technique used to understand the relationship between a dependent variable and one or more independent variables.

• Different types of regression include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regress...read more
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Q1. What is oopm ?
Ans. 
OOPM stands for Object-Oriented Project Management, a methodology that focuses on managing projects using object-oriented principles.
• OOPM emphasizes breaking down projects into smaller, manageable components called objects

• It promotes reusability, modularity, and flexibility in project development

• Examples of OOPM tools include UML (Unified Modeling Language) and Agile methodologies
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Q2. Codes were given to solve
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Q3. What was your previous job role and what was challenging
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Find the sales for air tickets for an aeroplane company using Logistic Regression