Value Hr First Consulting Data Analyst Intern Interview Questions and Answers

Aptitute,technical mcqs

Q1. Coding question
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Q2. Oops concept,dbms,sql
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Q1. You have 3 jars each with labels, one jar is labeled Apples, one is labeled Oranges and one is Apples and Oranges however all the jars are labeled incorrectly. you can pick one fruit from each jar how can ...read more
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Q1. Basic ML questions based on your project, python basic questions
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Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag

Q1. How to handle missing values
Ans. 
Handle missing values by imputation, deletion, or using algorithms that can handle missing data.
• Impute missing values using mean, median, mode, or predictive modeling

• Delete rows or columns with missing values if they are insignificant

• Use algorithms like XGBoost, Random Forest, or LightGBM that can handle missing data
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Q2. Linear equations model metrics
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Q1. Precession vs recall?
Ans. 
Precision measures the accuracy of positive predictions, while recall measures the ability to find all positive instances.
• Precision is the ratio of correctly predicted positive observations to the total predicted positives.

• Recall is the ratio of correctly predicted positive observations to all actual positives.

• Precision is important when the cost of false positives is high, while recall is important when the cost of fa...read more
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Q2. Clustering evaluation metrics
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The first round was easy which consist of basic aptitude questions including java,c,cpp,dbms,sql,reasoning,etc

Q1. Explain Data Analysis Life Cycle
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Q1. Deep questions about Machine learning, Deep learning, Generative AI, the working of transformers etc.
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Q1. Deep questions about Machine learning and deep learning with projects done. This was a client round.
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Q1. Salary discussion, project discussion, why change? Why Wipro
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