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Deloitte Data Scientist Consultant Interview Questions and Answers
Deloitte Data Scientist Consultant Interview Experiences
2 interviews found
Anonymous
(1 Question)
- Q1. All the basic Algorithm questions in Data Science
(1 Question)
- Q1. What is rag ? Increase context window of llms
- Ans.
RAG stands for Random Access Generator. Increasing context window of LLMS improves model performance.
RAG is a tool used in natural language processing to generate random access to text data.
Increasing the context window of LLMS (Large Language Models) helps the model to better understand the relationships between words in a sentence.
For example, increasing the context window from 5 to 10 in LLMS can improve the accurac
Skills evaluated in this interview
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I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Ml based questions, linear regression, classifications, regularizations, clustering based questions
- Q2. Coding test based on a data frame
(2 Questions)
- Q1. Techno managerial round
- Q2. Lots of ML use case based questions
(2 Questions)
- Q1. Interview with Director
- Q2. Questions based on projects done on cv
Hemant Yadav
Selected
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Combination logic on python
(1 Question)
- Q1. Explain classification
- Ans.
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
Classification involves training a model on labeled data to predict the class of new, unseen data points.
Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.
Examples of classification tasks include spam email...
(1 Question)
- Q1. ML, DL, Data Science, Python
(1 Question)
- Q1. AI,ML, Data Science, Use cases
It had python based questions
It had ml based questions
Interview Preparation Tips
Machine Learning, Metrics
Selected
I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.
(1 Question)
- Q1. 1. What is the role of beta value in Logistic regression? 2. What is bias variance trade off? 3. How did you decide on the list of variables that would be used in a model?
- Ans.
Beta value in logistic regression measures the impact of independent variables on the log odds of the dependent variable.
Beta value indicates the strength and direction of the relationship between the independent variables and the log odds of the dependent variable.
A positive beta value suggests that as the independent variable increases, the log odds of the dependent variable also increase.
A negative beta value sugges...
1. You are the data scientist of a digital store. You have to recommend top 10 products to a customer. What variables and techniques will you use to recommend the top 10 products?
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before Sep 2023. There were 3 interview rounds.
Simple Data Science Case Study
(1 Question)
- Q1. Python knowledge related questions
Data Science Case Study
Selected
I applied via Company Website and was interviewed before Sep 2022. There were 4 interview rounds.
(1 Question)
- Q1. Asked questions regarding my current role and responsibilities
(1 Question)
- Q1. Lots of questions related to Data Science coding test
(1 Question)
- Q1. Taken two rounds of test to check cultural and team fitment.
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