Chubb Interview Questions, Process, and Tips

Q1. Basic python questions, rest api and django questions
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A coding round involving a test on HackerRank. At least 2/4 or 3/4 questions to be solved to be selected

Q1. Coding on notepad(Easy level) and OOPS concepts
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Q2. Find the binary representation of a number
Ans. 
To find the binary representation of a number, convert the number to binary by dividing it by 2 and keeping track of the remainders.
• Start by dividing the number by 2 and noting the remainder

• Continue dividing the quotient by 2 until the quotient is 0

• Write down the remainders in reverse order to get the binary representation

• For example, the binary representation of 10 is 1010 (10 divided by 2 is 5 with a remainder of 0, ...read more
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Q1. Hackerrank question to solve while sharing your screen
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Q1. What challenges did you encounter during the implementation of DevOps?
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Q1. (interviewer observed that i am nervous. so, he did some small talk, i presume to make me feel comfortable)
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Q2. (after describing a project on my resume) explain recall in plain english? why did you use recall as evaluation metric? how do you calculate recall for mutli-label data? how did you decide the number of hi...read more
Ans. 
Recall is a metric used to measure the ability of a model to find all relevant instances in a dataset.
• Recall is the ratio of true positives to the sum of true positives and false negatives.

• It is used as an evaluation metric to assess the model's ability to identify all positive instances correctly.

• In multi-label data, recall can be calculated for each label separately and then averaged.

• The number of hidden layers and n...read more
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Q3. What is universal approximation theorm?
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Universal approximation theorem states that a neural network with a single hidden layer can approximate any continuous function.
• A neural network with a single hidden layer can approximate any continuous function

• It is a fundamental theorem in the field of deep learning

• The theorem applies to a wide range of activation functions

• The number of neurons required in the hidden layer may vary depending on the complexity of the ...read more
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Q4. How does backpropagation in neural networks work?
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Backpropagation is a supervised learning algorithm used to train neural networks by adjusting weights to minimize error.
• It involves propagating the error backwards through the network to adjust the weights of the connections between neurons.

• The algorithm uses the chain rule of calculus to calculate the gradient of the error with respect to each weight.

• The weights are then updated using a learning rate and the calculate...read more
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Q5. In what scenarios would you advice me to not use ReLU in my hidden layers?
Ans. 
Avoid ReLU when dealing with negative values or vanishing gradients.
• When dealing with negative values, use Leaky ReLU or ELU instead.

• When facing vanishing gradients, use other activation functions like tanh or sigmoid.

• In some cases, using ReLU in all layers can lead to dead neurons.

• Consider the nature of your data and the problem you are trying to solve before choosing an activation function.
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Q6. Some questions on Named Entitiy Recognition(NER)
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Q1. (after describing a project on my resume) how did the end users use this project? why did you choose to use the techniques/methods that you di? if you don't have labelled data, how would you go about doing...read more
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Q2. How will you get the embeddings of long sentences/paragraphs that transformer models like BERT truncate? how will you go about using BERT for such sentences? will you use sentence embeddings or word embedd...read more
Ans. 
To get embeddings of long sentences/paragraphs truncated by BERT, we can use pooling techniques like mean/max pooling.
• We can use pooling techniques like mean/max pooling to get embeddings of truncated sentences/paragraphs.

• We can also use sliding window approach to get embeddings of overlapping segments of the long input.

• For using BERT on such long inputs, we can use sentence embeddings or word embeddings depending on t...read more
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Q3. (after describing a project on my resume) brief all the pre-processing you have done for this multi-label text classification problem!
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Q4. If you were an animal or bird, which one would you want to be and why?
Ans. 
I would want to be a dolphin because of their intelligence, social nature, and ability to swim freely in the ocean.
• Dolphins are known for their high level of intelligence and problem-solving abilities.

• They are highly social animals and live in groups called pods.

• Dolphins have the ability to communicate with each other using a complex system of clicks, whistles, and body movements.

• They are also known for their agility a...read more
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Q5. What makes you angry/frustrated on your teammates or people at work?
Ans. 
Lack of communication, unresponsiveness, and lack of accountability frustrate me.
• Lack of communication: When teammates fail to communicate important information or updates, it hampers the progress of the project.

• Unresponsiveness: When teammates do not respond to emails, messages, or requests in a timely manner, it slows down the workflow and creates bottlenecks.

• Lack of accountability: When teammates do not take respons...read more
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Q6. Why do you want to join Chubb? [have a genuine answer ready, not a googled one]
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Q7. If you manager/upper-management has asked you to do something in a way that seems stupid to you, how will you tackle this? or will you continue to do it the stupid way?
Ans. 
I would respectfully discuss my concerns with my manager and propose alternative solutions.
• Initiate a conversation with the manager to understand their perspective

• Express concerns and provide logical reasoning for alternative approaches

• Present data or examples to support the proposed solutions

• Maintain a respectful and professional attitude throughout the discussion
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Q8. Why are you looking for new opportunities after only 1 and half years at your current company?
Ans. 
Seeking new opportunities to further develop my skills and contribute to a more challenging and dynamic environment.
• Looking for new challenges and growth opportunities

• Seeking a more dynamic and innovative work environment

• Wanting to work on a wider range of projects and gain diverse experience

• Desire to contribute to a company with a stronger focus on data science

• Exploring opportunities for career advancement and profess
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Q1. Why are you looking for new opportunities or change?
Ans. 
I am looking for new opportunities or change because I want to further develop my skills and contribute to a dynamic and innovative team.
• Seeking new challenges and growth opportunities

• Interested in working with a diverse and talented team

• Want to contribute to innovative projects and make a meaningful impact

• Desire to expand knowledge and skills in data science

• Looking for a company culture that aligns with my values and
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Q2. Why are trying for more offers, when you already have two offers with you?
Ans. 
Exploring more offers to make an informed decision and maximize career growth.
• To evaluate the best fit for my skills, interests, and long-term goals.

• To negotiate better compensation and benefits.

• To gain exposure to different industries, technologies, and projects.

• To expand professional network and opportunities.

• To ensure job security and minimize risks.

• To have a backup option in case one offer falls through.

• To explore ...read more
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