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Smarttech Solutions Data Science Intern Interview Questions and Answers

Updated 22 Apr 2024

Smarttech Solutions Data Science Intern Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Selected Selected
Round 1 - Technical 

(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.

  • Answered by AI
  • 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...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare machine learning using python from codewithharry youtube channel

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Basic questions in python
  • Q2. Questions in Ml
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Data Structures and Alg.

Round 2 - Technical 

(1 Question)

  • Q1. EDA and NumPy and Pandas

Interview Preparation Tips

Interview preparation tips for other job seekers - Study EDA

I applied via campus placement at Institute of Technology, Banaras Hindu University and was interviewed before Sep 2021. There were 2 interview rounds.

Round 1 - Coding Test 

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.

Round 2 - Technical 

(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...

  • Answered by AI
  • 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

Topics to prepare for Publicis Sapient Data Science Intern interview:
  • Machine Learning
  • Aptitude
  • Probability
  • Statistics
  • Data Structure and al
Interview preparation tips for other job seekers - 1. Perpare well the data science algorithms part.
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

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is bias v variance tradeoff
  • Q2. When should bagging v boosting techniques be used
Interview experience
3
Average
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Assignment 

They gave a span of 3 days to build an AI-powered webapp

Round 2 - One-on-one 

(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

  • Answered by AI
Round 3 - One-on-one 

(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

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thoroughly prepared with your projects with their details nd skills on your resume

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Ml based questions, linear regression, classifications, regularizations, clustering based questions
  • Q2. Coding test based on a data frame
Round 2 - Technical 

(2 Questions)

  • Q1. Techno managerial round
  • Q2. Lots of ML use case based questions
Round 3 - Technical 

(2 Questions)

  • Q1. Interview with Director
  • Q2. Questions based on projects done on cv
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(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.
Round 2 - HR 

(2 Questions)

  • Q1. Why u want to join?
  • Q2. What is your future goal?
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Gen AI projects
  • Q2. Architecture of projects I worked
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Given a situation how do you handle different cases
  • Q2. Given a proab stats question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your projects well.

Smarttech Solutions Interview FAQs

How many rounds are there in Smarttech Solutions Data Science Intern interview?
Smarttech Solutions interview process usually has 1 rounds. The most common rounds in the Smarttech Solutions interview process are Technical.
What are the top questions asked in Smarttech Solutions Data Science Intern interview?

Some of the top questions asked at the Smarttech Solutions Data Science Intern interview -

  1. What is classification and regress...read more
  2. Explain ml mod...read more

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