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Streamhub Data Scientist Interview Questions and Answers
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Interview questions from similar companies
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain any ML model.
- Q2. Create Dataframe from two lists.
Interview Preparation Tips
- Python
- pandas
- ML
I applied via campus placement at National Institute of Technology (NIT), Warangal
1 hour aptitude test
(1 Question)
- Q1. What is one hot encoding
(1 Question)
- Q1. What is your long term goal
Lakshman Bhavana
Selected
I applied via campus placement at Sastra University and was interviewed in Sep 2024. There were 2 interview rounds.
Along with coding round..there's a communication test at the end
(2 Questions)
- Q1. There's ntg to ask about technical for me..
- Q2. Behavioural questions
Data Scientist Interview Questions & Answers
Acuity Knowledge Partners
Anonymous
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain the RAG pipeline?
- Ans.
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria
Red category typically represents data that needs immediate attention or action
Amber category represents data that requires monitoring or further investigation
Green category represents data that...
- Q2. Explain Confusion metrics
- Ans.
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
Confusion matrix is a table that describes the performance of a classification model.
It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.
These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...
Skills evaluated in this interview
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
Basic aptitude , tech aptitude
(2 Questions)
- Q1. What is overfitting
- Q2. How to handle missing values
DSA and ML, AI, Coding question
(1 Question)
- Q1. Case study which was easy
(1 Question)
- Q1. In depth questions on ML
Given 6 coding qns related to java and html and also ML.
(1 Question)
- Q1. Explain abt projects and qns related to ML.
- Ans.
Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
Developing a recommendation system for an e-commerce website
Predicting customer churn for a telecommunications company
Classifying images in a computer vision project
Anomaly detection in network traffic for cybersecurity
Natural language processing for sentiment analysis
(1 Question)
- Q1. Basic hr qns why straive?
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
(1 Question)
- Q1. Sql, Python programming Questions
(1 Question)
- Q1. Retail, CPG based case study questions like offer allocation method for loyal customers
Selected
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
(2 Questions)
- Q1. Past projects of machine learning
- Ans.
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
- Q2. Distributed computing and spark questions
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. Was asked to explain one of my work projects in detail, Basic pandas syntax
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