Add office photos
Filter interviews by
Smarttech Solutions Data Science Intern Interview Questions and Answers
Smarttech Solutions Data Science Intern Interview Experiences
1 interview found
Selected
(2 Questions)
- Q1. Explain ml models
- Ans.
ML models are algorithms that learn patterns from data to make predictions or decisions without being explicitly programmed.
ML models use training data to learn patterns and relationships.
They can be supervised (with labeled data) or unsupervised (without labels).
Examples include linear regression, decision trees, support vector machines, and neural networks.
- Q2. What is classification and regression
- Ans.
Classification is the process of categorizing data into predefined classes, while regression is the process of predicting continuous values.
Classification involves predicting the category or class label of new observations based on past data
Regression involves predicting a continuous value for new observations based on past data
Examples of classification include spam detection in emails and predicting whether a custome...
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
Data Science Intern Interview Questions & Answers
Hexaware Technologies
Anonymous
posted on 18 May 2024
I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.
(2 Questions)
- Q1. Basic questions in python
- Q2. Questions in Ml
Data Structures and Alg.
(1 Question)
- Q1. EDA and NumPy and Pandas
Interview Preparation Tips
I applied via campus placement at Institute of Technology, Banaras Hindu University and was interviewed before Sep 2021. There were 2 interview rounds.
1. There were two coding problems from leetcode (1 easy and 1 mediam).
2. One was machine learning problem having hingh weightage. They given a data and we have to make a linear regression model on data and submit prediction.
(4 Questions)
- Q1. It was a technical interview . Mostly focussed on data science machine learning alogorithms. Also do prepare case studies.
- Q2. Explain Random forest. What is gini impurity.
- Ans.
Random forest is an ensemble learning method that constructs a multitude of decision trees and outputs the mode of the classes. Gini impurity is a measure of impurity or randomness used in decision trees.
Random forest is a collection of decision trees that are trained on different subsets of the data.
Each decision tree in the forest is trained on a random subset of the features.
The final prediction is made by taking th...
- Q3. One coding question (best time to buy and sell stock leetcode easy version).
- Q4. One case study data science senario based case study.
Interview Preparation Tips
- Machine Learning
- Aptitude
- Probability
- Statistics
- Data Structure and al
2. Practice MCQs about stats, probability, ML algos and aptitude.
3. Practice leetcode daily solve around 200+ problems (50 easy 10 mediam).
4. Solve ML problems on hckerrank.
5. For interviews solve some case studies type of questions based on application of data science, designing features for models, training steps and validation.
Skills evaluated in this interview
(2 Questions)
- Q1. What is bias v variance tradeoff
- Q2. When should bagging v boosting techniques be used
Selected
I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.
They gave a span of 3 days to build an AI-powered webapp
(2 Questions)
- Q1. How would you go about learning a new skill
- Q2. Experience in cloud technologies
- Ans.
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
Experience in setting up and managing virtual machines, storage, and networking in cloud environments
Knowledge of cloud services like EC2, S3, RDS, and Lambda
Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
(2 Questions)
- Q1. Tell me about yourself
- Q2. Project details and challenges faced in the project
- Ans.
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data from various sources
Performed exploratory data analysis to identify key factors influencing churn
Built and fine-tuned machine learning models to predict customer churn
Challenges included imbalanced data, feature engineering, and model interpretability
Interview Preparation Tips
Skills evaluated in this interview
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
kiran khaira
(2 Questions)
- Q1. Asked questions related to stats , Senario based. Interviewer was very nice
- Q2. Asked questions on Python Programming and asked for Programs Like How can update List , Asked to Build a Tough Dict , Class etc.
(2 Questions)
- Q1. Why u want to join?
- Q2. What is your future goal?
(2 Questions)
- Q1. Gen AI projects
- Q2. Architecture of projects I worked
(2 Questions)
- Q1. Given a situation how do you handle different cases
- Q2. Given a proab stats question
Interview Preparation Tips
Smarttech Solutions Interview FAQs
Tell us how to improve this page.
Interview Questions for Popular Designations
- Data Scientist Interview Questions
- Data Science Engineer Interview Questions
- Senior Data Scientist Interview Questions
- Data Science Consultant Interview Questions
- Jr. Data Scientist Interview Questions
- Decision Scientist Interview Questions
- Associate Data Scientist Interview Questions
- Data Scientist Intern Interview Questions
- Show more
Data Science Intern Interview Questions from Similar Companies
|
Key Account Manager
4
salaries
|  ₹3.6 L/yr - ₹9.5 L/yr |
|
Procurement Engineer
4
salaries
| ₹2.6 L/yr - ₹7 L/yr |
|
Accountant
3
salaries
| ₹1.5 L/yr - ₹2.5 L/yr |
|
Technical Support Engineer
3
salaries
| ₹2.6 L/yr - ₹3 L/yr |
|
Purchase Executive
3
salaries
| ₹3.3 L/yr - ₹5.6 L/yr |
Infosys
TCS
Wipro
HCLTech
- Home >
- Interviews >
- Smarttech Solutions Interview Questions >
- Smarttech Solutions Data Science Intern Interview Questions
