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posted on 7 Feb 2022
I was interviewed before Feb 2021.
Round duration - 90 Minutes
Round difficulty - Medium
The test is divided into 3 sections:
1. R coding.
2. Python coding. This section includes NumPy and scikit questions.
3. Statistics. This section includes T-tests, Anova regression distributions, and chi-square.
Each section has roughly 12 questions. The number of questions and difficulty is not set in advance, the test is adaptive. The more correct answers you give, the more the questions get tougher. The qualification does not depend upon the number of questions solved, rather on the difficulty level you can achive.
Complete the function to find the value in a specified categorical column with the highest average of a specified numeric column.
import pandas as pddef category_avg(df, cat_column, num_col...
The function finds the value in a specified categorical column with the highest average of a specified numeric column.
Use the groupby() function in pandas to group the data by the categorical column
Calculate the average of the numeric column for each group
Find the group with the highest average and return the corresponding value from the categorical column
Round duration - 60 Minutes
Round difficulty - Hard
The task is to rotate a square matrix by 90 degrees in an anti-clockwise direction using constant extra space.
Iterate through each layer of the matrix from outer to inner
For each layer, perform a four-way swap of elements
Continue this process until all layers have been rotated
Round duration - 30 Minutes
Round difficulty - Medium
How was your interview experience so far?
Why do you want to join us?
Are you a leader or a follower?
Answering basic HR questions in a data science intern interview.
My interview experience so far has been positive and informative.
I want to join your company because of its reputation in the data science field and the opportunity to work on challenging projects.
I consider myself a leader as I have successfully led a team in a previous project.
I believe in taking initiative and guiding others towards achieving common goa...
Tip 1 : Have in-depth knowledge of data-frame manipulation using Pandas
Tip 2 : Learn all NumPy array methods
Tip 3 : Good working knowledge about Scikit Learn
Tip 1 : Have 2-3 good projects on Machine Learning or Data Science preferably in Python.
Tip 2 : List only those skills which you are good at.
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