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Dish Network Data Scientist Interview Questions and Answers
Dish Network Data Scientist Interview Experiences
1 interview found
Selected
I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.
Python and SQL coding test along with basic data science questions
Python was on basic syntax. SQL was on medium difficulty
(1 Question)
- Q1. Correlation vs causation Central limit theorem Support Vector Machines Confusion matrix Basics of Deep Learning - activation function, optimizers and initialisation techniques Z score, P value Differenc...
(1 Question)
- Q1. Questions about my background My hobbies and interests
Interview Preparation Tips
They expect you to know broad areas even though it might be of shallow depth
Interview questions from similar companies
Numpy,pandas,data analysis
(1 Question)
- Q1. Basic ML questions were asked.
Selected
I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.
(1 Question)
- Q1. All technical questions related to profile
(1 Question)
- Q1. Data science questions
(1 Question)
- Q1. Current role and experience related
(2 Questions)
- Q1. Technical questions
- Q2. Data science questions by onshore team
(2 Questions)
- Q1. Salary joining date
- Q2. Expected salary joining date
Selected
I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about yourself
Senior Data Scientist Interview Questions & Answers
Bharti Airtel
Pulkit Verma
posted on 30 Sep 2023
Selected
I applied via Instahyre and was interviewed before Sep 2022. There were 4 interview rounds.
(1 Question)
- Q1. Technical questions related to NLP, Computer Vision and Projects that I worked on. Detailed discussion on evaluation metrics that I used.
(1 Question)
- Q1. Interview with the Manager to whom I was going to report, it was mostly related to Deep Leaning in which questions related to batch normalisation, various activation functions along with drawbacks were ask...
A simple aptitude test was organised but it was not an eliminator, just to check your aptitude
Interview Preparation Tips
Selected
I applied via LinkedIn and was interviewed before Sep 2023. There were 3 interview rounds.
Coding on Computer vision, NLP and Recommendation system, any 1 could be picked and solved
(2 Questions)
- Q1. Integration and differentiation, Machine learning math behind it
- Q2. Linear regression assumptions, SVM model
(2 Questions)
- Q1. Expectation from the role and compensation
- Ans.
Expectations include utilizing data to drive insights and decisions, contributing to business growth, and competitive compensation.
Utilize data to drive insights and decisions
Contribute to business growth through data-driven strategies
Expect competitive compensation based on experience and skills
- Q2. Behavioral questions
Interview Preparation Tips
- Machine Learning
- Deep Learning
- Computer Vision
- NLP
- Python
(1 Question)
- Q1. Basic ML questions were asked.
Selected
I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.
(1 Question)
- Q1. All technical questions related to profile
(1 Question)
- Q1. Data science questions
(1 Question)
- Q1. Current role and experience related
(2 Questions)
- Q1. Technical questions
- Q2. Data science questions by onshore team
(2 Questions)
- Q1. Salary joining date
- Q2. Expected salary joining date
Selected
I applied via Referral and was interviewed before Nov 2023. There were 2 interview rounds.
(1 Question)
- Q1. What kind of work culture do you like?
(1 Question)
- Q1. Explain the bias-variance tradeoff
- Ans.
Bias-variance tradeoff refers to the balance between underfitting and overfitting in machine learning models.
Bias refers to the error introduced by approximating a real-world problem, while variance refers to the error introduced by the model's sensitivity to fluctuations in the training data.
High bias can lead to underfitting, where the model is too simple to capture the underlying patterns in the data.
High variance c...
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Dish Network Data Scientist Interview Process
based on 1 interview
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