Infosys Consulting 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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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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Q1. What is probability
Ans. 
Probability is the likelihood of a specific event occurring, expressed as a number between 0 and 1.
• Probability ranges from 0 (impossible event) to 1 (certain event)

• It can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes

• Probability can be represented as a percentage, fraction, or decimal
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Q2. Write python code
Ans. 
Python code to find the sum of all elements in a list
• Use the sum() function to find the sum of all elements in a list

• Ensure the list contains only numeric values for accurate results
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Hackerearth - python and ML stuff

Q1. EIgen vectors, Math behind algos and previous projects
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Q1. General discussion why to switch?
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Q1. Project description
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Q2. Tech stack used
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Q1. Solve a python coding problem
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Q2. Solve python problem based on dict
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Q1. General questions
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It was a 90-minute Aptitude + Coding test in which some LeetCode medium CP problems were asked.

Q1. Regression models: Which one should be used in which case?
Ans. 
Different regression models are used based on the type of data and relationship between variables.
• Linear regression is used when there is a linear relationship between the independent and dependent variables.

• Logistic regression is used when the dependent variable is binary.

• Polynomial regression is used when the relationship between variables is non-linear.

• Ridge regression is used when there is multicollinearity in the ...read more
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Q2. What is R-squared?
Ans. 
R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.
• R-squared ranges from 0 to 1, with 1 indicating that all variance in the dependent variable is explained by the independent variable.

• It is used in regression analysis to determine how well the regression line fits the data points.

• A higher R-squared value indicates a bett...read more
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Q3. Logical and Puzzle Questions?
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Q4. Live Coding: 3-Sum Problem
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Q1. Something about yourself?
Ans. 
I am a detail-oriented Senior Analyst with a passion for data analysis and problem-solving.
• Experienced in conducting thorough research and interpreting complex data sets

• Skilled in creating insightful reports and presentations for stakeholders

• Proficient in using analytical tools such as Excel, SQL, and Tableau
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Q2. Salary Negotiation
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