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HARMAN Data Scientist Interview Questions and Answers
HARMAN Data Scientist Interview Experiences
1 interview found
Anonymous
I was interviewed before Feb 2023.
(1 Question)
- Q1. 1. diff between acf pacf
- Ans.
ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.
ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.
PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.
ACF is used to identify the orde...
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I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
(3 Questions)
- Q1. Describe a decision tree
- Ans.
A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.
It is a tree-like structure with nodes representing decisions and branches representing outcomes
Each node has a condition that determines which branch to follow
It is commonly used in machine learning for classification and regression tasks
Example: A decision tree for predicting whether a customer will bu...
- Q2. What is random forest
- Ans.
Random forest is an ensemble learning method for classification, regression and other tasks.
Random forest builds multiple decision trees and combines their outputs to improve accuracy.
It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.
Random forest can be used for both classification and regression tasks.
It is resistant to overfitting and can handle missing data.
Exa...
- Q3. What is neural network
- Ans.
Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.
Consists of layers of interconnected nodes that process information
Used for tasks such as image recognition, natural language processing, and prediction
Can be trained using supervised, unsupervised, or reinforcement learning
Examples include convolutional neural networks, recurrent neural networks, and deep n
Leetcode style coding
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Skills evaluated in this interview
tyler chun
(2 Questions)
- Q1. Exptected salary
- Q2. What do you expect for work
- Ans.
I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
Challenging projects that allow me to apply my data science skills and learn new techniques
Opportunities for growth and advancement within the company
Collaborative team environment where I can share ideas and work together towards common goals
Work-life balance to ensure I can perform at my best both profession
Topic was joining and calculating
Selected
I applied via Company Website and was interviewed in Jun 2023. There were 2 interview rounds.
I was asked to solve various problems (your typical algorithm and data structure subjects), as well as explain the various projects I worked on in my most recent position.
Divide candidates in a group of around 15 people, and put you through different activities such as role play exercises to measure your communication and team working skills.
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
(1 Question)
- Q1. Questions related to Python , ML, Deep Learning and resume based questions
(1 Question)
- Q1. Project related
(1 Question)
- Q1. Usual HR questions
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
(2 Questions)
- Q1. What is regression ? how it works
- Ans.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
- Q2. Questions on recent projects
(1 Question)
- Q1. Basic back ground check
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
LG Electronics
Shivang Singh Kaira
posted on 2 Jan 2025
Basic python questions
Selected
I applied via Company Website and was interviewed before Sep 2022. There were 2 interview rounds.
It was very stressful
(2 Questions)
- Q1. What will you do for the company in next 5 years
- Ans. Continuing and developing skills and knoweldge in order to be able to take on more responsiblity within the company
- Q2. Why should we hire you ?
- Ans. Because of my relevant skills and passion for this carrer
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2 DSA Codes were there with python
(1 Question)
- Q1. Explain your project
Interview Preparation Tips
(1 Question)
- Q1. Mostly related to Projects and JD
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