dhiOmics Analytics Interview Questions and Answers

32 questions in 45 mins

Q1. What is the Classification matric ?
Ans. 
Classification metric is a measure used to evaluate the performance of a classification model.
• Classification metrics include accuracy, precision, recall, F1 score, ROC-AUC, etc.

• Accuracy measures the proportion of correct predictions out of the total predictions.

• Precision measures the proportion of true positive predictions out of all positive predictions.

• Recall measures the proportion of true positive predictions out o...read more
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Q1. What is data science
Ans. 
Data science is a field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
• Data science involves collecting, analyzing, and interpreting large amounts of data to solve complex problems.

• It combines statistics, machine learning, data visualization, and domain expertise to make data-driven decisions.

• Examples of data science applications include pre...read more
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Q2. Basics of sql and python
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Q3. About projects on resume
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Aptitude round consist of both 10 general python questions and 10 aptitude questions

One question- Write a programme to print prime palindromic numbers between 10 to 500

Q1. 1.Different Types of Joins 2.What is normal distribution 3.Difference between skewness and kurtosis 4.Draw different skewed diagrams on paper and point out mean,median and mode 5.Explain about Window funct...read more
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Interview questions for Machine Learning Scientist position
• Different types of joins: inner, left, right, full outer

• Normal distribution: bell-shaped curve with mean and standard deviation

• Skewness: measure of asymmetry in data, Kurtosis: measure of peakedness in data

• Window functions: perform calculations across a set of rows that are related to the current row

• Rank vs Dense rank: Rank assigns unique rank to each distinct ...read more
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Q1. Aptitude and comprehension round
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Logical Reasoning, Numerical Reasoning, Coding Questions in python, SQL, Project done, Numpy

Q1. There is an HR round as well but I couldn't clear it, I didn't get the revert, it asked me about my role and my expectation and some tricky question but it was good?
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Q2. How was your day? please do understand the motive behind the question.
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