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I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
Random Forest is a popular machine learning model used for classification and regression tasks.
It works by creating multiple decision trees during training and outputs the mode of the classes for classification or the average prediction for regression.
Random Forest is ro...
Creating a DataFrame from two lists in Python.
Import the pandas library
Create two lists of data
Use pd.DataFrame() to create a DataFrame from the two lists
I applied via Referral and was interviewed in May 2024. There were 3 interview rounds.
I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.
Answering questions related to data science concepts and techniques.
Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.
To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...
I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.
Sql, python, Statistics mcq, Aptitude test. These were medium level questions.
Remove duplicates from list b, keep elements not in list a, and sort in ascending order.
Create a set from list b to remove duplicates
Use list comprehension to keep elements not in list a
Sort the final list in ascending order
Use the DISTINCT keyword in SQL to remove duplicates from a table.
Use the SELECT DISTINCT statement to retrieve unique rows from the table.
Identify the columns that should be used to determine uniqueness.
Example: SELECT DISTINCT column1, column2 FROM tab1;
Given 2 case studies on data science and asked different possibilities to improve the models.
How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST
I applied via Referral and was interviewed in Mar 2024. There were 4 interview rounds.
Test consisted 7 sections which lasted for more than a hour. There were questions related to coding , sql , analytical questions etc.
1 python coding questions and 2 Sql question
2 case study question
Nielsen interview questions for designations
Top trending discussions
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
DSA and ML, AI, Coding question
I applied via Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.
2hrs - sections include aptitude, machine learning, deep learning and two easy python coding questions
I was interviewed in Nov 2024.
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
Basic aptitude , tech aptitude
Some of the top questions asked at the Nielsen Data Scientist interview -
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