Innovaccer Data Scientist Interview Questions and Answers

Q1. Machine learning models
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Q1. Explain projects in detail
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Q1. Project related questions
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Q2. Theoretical ML questions
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Q1. Project related questions
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Q2. Theoretical ML questions
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MCQs on ML, SQL. Timed test.

Interviewer was nice and had good knowledge. Asked to introduce myself, asked me to solve 2 programming question on Python.
1. Valid Parenthesis
2. Find longest increasing subsequence

Asked about project and technical questions related to project

Q1. Introduce yourself
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Q2. Asked about project and questions related to project and technical questions on ML, SQL
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Q1. Technical questions related to Machine Learning, SQL and asked about project and relevant technical questions
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Q1. Basic stat and math for ML question in a tricky way.
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Q2. Question related to hypothesis testing, P-value
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Q3. Basic yet tricky questions on ML
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Q4. A puzzle relalted to Probability
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Basic questions like stats, probability etc

Scenario based question

Q1. Questions on fundamentals
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Q1. General questions
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Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
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Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
Ans. 
Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.
• Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

• Adam optimizer uses adaptive learning rates for each parameter.

• Gradient Descent optimizer has a fixed learning rate for all parameters.

• Adam optimizer includes momentum to speed up convergence.

• Gradient Descent optimizer updates parameters b...read more
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Q3. When to use Relu and when not?
Ans. 
Use ReLU for hidden layers in deep neural networks, avoid for output layers.
• ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

• Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

• Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

• ReLU is computationally efficient and helps in preventing the vanishing gradient prob...read more
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Standard question from sql and python in hackerrank

Q1. Reverse a linked list
Ans. 
Reverse a linked list by changing the direction of pointers
• Start with three pointers: current, previous, and next

• Iterate through the linked list, updating pointers to reverse the direction

• Return the new head of the reversed linked list
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Q2. Question based on joins and subquery
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Q1. More question about project
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Q2. What do you know about genAI
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Q1. Basic questions on resume back propagation , gradient descent , activation functions and what is the significance why resnet , vanishing gradient poroblem
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Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...read more
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