Dentsu Aegis Network Data Scientist Interview Questions and Answers

Basic for loop question,

Q1. Sql questions and project related question
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A="bala",b="Babu";
Print=A+b
O/p:
balababu

Python is a computer programming language use to build up software and websites designed by Rossum appear in 20 Feb 1991
1.Numpy is a python libraries working with arrays.
2.pandas is used to read the data sets.
3.matplotlib libraries for visualisation.
4.mission learning is divided into two parts.
*Supervised learning
*Unsupervised learning
5.deep learning is used to create artificial neurons.
6.advance excel is used for graphs and calculate the whole members at same time lot of useful things that have.
7mysql is mainly used for store the data.

Python, numpy, pandas, mission learning, deep learning, basic statistics, advance excel, MySQL

Python, numpy, pandas, mission learning, deep learning, basic statistics, advance excel, MySQL

Q1. Why we use mission learning Mission learning used for analysis the data's and we can able to predict and we add some additional algorithm it's mainly used for prediction and AI.
Ans. 
Mission learning is used for data analysis and prediction with additional algorithms for AI.
• Mission learning is a subset of machine learning that focuses on predicting outcomes based on data analysis.

• It involves using algorithms to learn patterns and make predictions based on new data.

• Examples include image recognition, natural language processing, and recommendation systems.
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Q2. Deep learning uses: Deep learning Mainly used for creating artificial neurons in the neural network. Deep learning is very aid about the mission how to work and artificial intelligence helps also
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Q3. Statistics: Statistics is used for mathamatics operation and it helps to prediction. Example: We started to calculate how many persons live in between 20to25 age. That time statistics is very help to reduc...read more
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I don't know idea about group discussion

This test consists of some coding MCQ +quantitative aptitude and logical reasoning etc.

Q1. This was technical interview multiple questions were asked from python sql and ML statistics and data analytics. Project explanation and Q/A was there over project.
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MCQs based on Stats and ML

Q1. Based on skills and tools and concepts
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Q1. Based on projects and internships
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Q1. General questions like team work in projects etc
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Q1. Python related questions
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Programing of string manipulation

General aptitude questions

Q1. General data science questions
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Q1. Advanced data science questions+ case studies
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Q1. Hr round, salary discussion
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Merge 2 data frames
Code methods of detecting outliers
Group dataframes

Q1. Last 2 projects Various ml algos Difference between random forest and xgboost Hyperparameter tuning Some NLP questions Chi-sq test
Ans. 
The question asks about the last 2 projects, ML algorithms, the difference between random forest and xgboost, hyperparameter tuning, NLP questions, and chi-sq test.
• Discuss the details of the last 2 projects you worked on

• Explain various machine learning algorithms you are familiar with

• Highlight the differences between random forest and xgboost

• Describe your experience with hyperparameter tuning

• Answer NLP-related question
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