AML RightSource Senior Analyst Interview Questions and Answers

Q1. Move all 0's to the end of the list
Ans. 
Move all 0's to the end of the list in an array of strings
• Iterate through the array and move all 0's to the end while maintaining the order of other elements

• Use two pointers approach to swap 0's with non-zero elements
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Group of 8. Topic was digital transformation by AI

Q1. Asked questions on stress management and academic scores
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Q1. Question about projects
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Q2. Why use MSE metric
Ans. 
MSE metric is commonly used in data analysis to measure the average squared difference between predicted values and actual values.
• MSE helps to quantify the accuracy of a model by penalizing large errors more than small errors.

• It is easy to interpret as it gives a clear measure of how well the model is performing.

• MSE is differentiable, making it suitable for optimization algorithms like gradient descent.

• Example: In line...read more
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Q1. Discussion about projects
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Q2. Why use MSE metrics
Ans. 
MSE metrics are commonly used to measure the average squared difference between predicted values and actual values in statistical analysis.
• MSE helps in evaluating the performance of a predictive model by quantifying the accuracy of the model's predictions.

• It penalizes large errors more heavily than small errors, making it a useful metric for identifying outliers or areas where the model is underperforming.

• MSE is widely...read more
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Online Coding Assessment on HackerEarth

Q1. Questions related to previous experience, projects, DSA (Easy to Medium level)
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Q1. Questions related to previous experience, data science, project discussions, DSA
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Q1. Questions on problem solving, pandas, SQL.
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Q1. Walk me through your resume
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Q2. What is entropy ? What is gini index? Give a real life example of derivative and second derivative. What is the difference between P-value and beta value? How do you handle imbalanced dataset? What is the ...read more
Ans. 
Entropy is a measure of randomness or disorder in a system. Gini index is a measure of impurity in a dataset. Derivatives measure rate of change. P-value is the probability of observing a test statistic. Beta value is the coefficient in a regression model. Imbalanced datasets have unequal class distribution. Recall is the proportion of actual positives correctly identified. Precision is the proportion of predicted posi...read more
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