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Poornam Info Vision Jr. Data Scientist Interview Questions and Answers

Updated 23 Jan 2025

Poornam Info Vision Jr. Data Scientist Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Dec 2024.

Round 1 - Aptitude Test 

Quantitative aptitude: 10 questions on logical reasoning and basic mathematics. C programming. Essay Writing: A 200-word essay to assess communication skills. Technical awareness.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared and practice. Stay updated by continuously learning about new technologies and industry trends. Customize your resume to highlight the skills that are relevant to the job role. Additionally, practice by working on aptitude tests, coding skills, or technical concepts based on the job requirements.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Bias variance trade off
  • Q2. What is AB testing
  • Ans. 

    AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.

    • AB testing involves creating two versions (A and B) of a webpage or app with one differing element

    • Users are randomly assigned to either version A or B to measure performance metrics

    • The version that performs better in terms of the desired outcome is selected for implementation

    • Example: Testing two different call...

  • Answered by AI
  • Q3. Basic traditional ML question about ML metrics, bagging boosting etc.
Round 2 - Assignment 

It was a classification problem

Round 3 - Technical 

(3 Questions)

  • Q1. Questions about assignment
  • Q2. Questions from resume.
  • Q3. Questions based on probability, statistics and loss functions

Interview Preparation Tips

Topics to prepare for Talentica Software Data Scientist interview:
  • NLP
  • Machine Learning
Interview preparation tips for other job seekers - Get clear with the ML, statistics and data science basics. Practice problems based on probability.
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Asked about coalese in sql and its syntax.
  • Q2. Sql from leetcode on windows function and joins and cte
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Questions based on my work experience, basic level of python coding (return counts for duplicate integers in a list), theory questions on basic DL (activation layers, time series)

Interview Preparation Tips

Interview preparation tips for other job seekers - Do not get upset if you fail interviews, many of these end up hiring internally or are simply following the protocol of interviewing you after already having selected some other candidate. Just keep on trying!

Data Scientist Interview Questions & Answers

A3logics user image Dr. Bhavesh Devra

posted on 15 Jun 2024

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

(1 Question)

  • Q1. Explain end to end ML project
  • Ans. 

    End to end ML project involves data collection, preprocessing, model training, evaluation, and deployment.

    • 1. Data collection: Gather relevant data from various sources.

    • 2. Data preprocessing: Clean, transform, and prepare the data for modeling.

    • 3. Model training: Develop and train machine learning models using the processed data.

    • 4. Model evaluation: Assess the performance of the models using metrics like accuracy, precis...

  • Answered by AI

Skills evaluated in this interview

I applied via Company Website and was interviewed before May 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Question asked were on the fundamentals of selected Classification and Regression algorithms, Live coding(Basic and Easy) , Basic Knowledge on any cloud service, Deployment of ML projects on cloud .

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the math and fundamentals behind each ML or DL algorithms. No need to know all State of the Art algorithms , be sure on whatever you know. Deployment using Flask and on any cloud service is required. Strong grip on python like using basic data structures like using Dictionaries, set, lists and other functions like lambda,filter, map etc.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. About CNN architecture and how it is relevant for textual data
  • Q2. Questions related to probability therom
Interview experience
3
Average
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Good questions. 3 SQL case studies at end

Round 2 - Technical 

(1 Question)

  • Q1. Power BI, SQL, Excel technical questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - Assignment 

I was given assigment on a simple problem where task was to analyse and create a working solution for a problem statement

Round 2 - One-on-one 

(2 Questions)

  • Q1. What is bert algorithm? How does it work.
  • Ans. 

    BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained natural language processing model.

    • BERT is a transformer-based machine learning algorithm developed by Google.

    • It is designed to understand the context of words in a sentence by considering both the left and right context simultaneously.

    • BERT has been pre-trained on a large corpus of text data and can be fine-tuned for specific NLP tasks like ...

  • Answered by AI
  • Q2. Can you explain regression in logistic regression?
  • Ans. 

    Logistic regression is a type of regression analysis used to predict the probability of a binary outcome.

    • Logistic regression is used when the dependent variable is binary (e.g. 0 or 1, yes or no).

    • It estimates the probability that a given input belongs to a certain category.

    • The output of logistic regression is transformed using a sigmoid function to ensure it falls between 0 and 1.

    • It uses the logistic function to model ...

  • Answered by AI

Skills evaluated in this interview

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

(1 Question)

  • Q1. What is r squared value
  • Ans. 

    R-squared value is a statistical measure that represents the proportion of the variance in the dependent variable that is predictable from the independent variable(s).

    • R-squared value ranges from 0 to 1, with 1 indicating a perfect fit.

    • It is used to evaluate the goodness of fit of a regression model.

    • A higher R-squared value indicates that the model explains a larger proportion of the variance in the dependent variable.

    • F...

  • Answered by AI

Poornam Info Vision Interview FAQs

How many rounds are there in Poornam Info Vision Jr. Data Scientist interview?
Poornam Info Vision interview process usually has 1 rounds. The most common rounds in the Poornam Info Vision interview process are Aptitude Test.

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Poornam Info Vision Jr. Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
View more

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