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Thinkitive Technologies Data Scientist Interview Questions and Answers

Updated 29 Feb 2024

Thinkitive Technologies Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image Ganesh Patil

posted on 29 Feb 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Mostly about projects ml, nlp, python code would be asked
Round 2 - Technical 

(1 Question)

  • Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
Round 3 - HR 

(1 Question)

  • Q1. Organisation fit

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Mar 2024.

Round 1 - HR 

(2 Questions)

  • Q1. What experience do you have in this role?
  • Q2. What tools or technologies are you comfortable using?
  • Ans. 

    I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.

    • Excel: Advanced functions, pivot tables, and data visualization.

    • SQL: Writing complex queries for data extraction and manipulation.

    • Python: Utilizing libraries like Pandas and NumPy for data analysis.

    • Tableau: Creating interactive dashboards for data visualization.

    • R: Statistical analysis and data visualiza

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Follow Up – A simple follow-up email can increase your chances of getting hired.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Assignment 

Based on my CV, they assigned me a task related to data migration.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Project reviews
  • Q2. Attendance regarding
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the pivot table in Excel
  • Ans. 

    A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.

    • Allows users to summarize and analyze large datasets

    • Can easily reorganize data by dragging and dropping fields

    • Provides options to calculate sums, averages, counts, etc. for data

    • Helps in creating interactive reports and charts

    • Useful for identifying trends and patterns in data

  • Answered by AI
  • Q2. A pivot table is used to summarize...........etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - "tailor your resume for each job application."

Skills evaluated in this interview

I applied via Referral and was interviewed before Feb 2021. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Tell me about yourself
Round 2 - Technical 

(1 Question)

  • Q1. 1 Project Explanation 2 SDLC & STLC. 3 Differentiate Smoke vs Sanity 4 What is Regression testing? 5 Bug life cycle. 6 Scenarios on real time example. 7 Questions on agile
  • Ans. 

    Interview questions for Software Engineer position

    • Project explanation should include details on the project's purpose, scope, and technologies used

    • SDLC (Software Development Life Cycle) and STLC (Software Testing Life Cycle) are methodologies used in software development and testing respectively

    • Smoke testing is a type of testing that checks if the basic functionalities of the software are working fine, while Sanity tes...

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

(1 Question)

  • Q1. All basic HR questions and salary discussion.

I applied via Referral and was interviewed before Jan 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. Which technology are you using, is this latest?
  • Ans. 

    We are using a variety of technologies, including some of the latest ones.

    • We are using React for our front-end development.

    • We are also using Node.js for our back-end development.

    • We are using Docker for containerization.

    • We are using Kubernetes for orchestration.

    • We are using AWS for cloud hosting.

    • We are constantly evaluating new technologies to see if they can improve our development process.

  • Answered by AI
  • Q2. If not then which technology can we use instead of this?
  • Ans. 

    It depends on the specific requirements and constraints of the project.

    • Consider the project's goals and objectives

    • Evaluate the available technologies and their capabilities

    • Assess the project's budget and timeline

    • Consult with stakeholders and experts in the field

    • Examples: React vs Angular, MySQL vs MongoDB, Java vs Python

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Hi,
Listen carefully and speak fluently.

I applied via Company Website and was interviewed before Dec 2019. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Regarding OOPS, wordpress and laravel.

Interview Preparation Tips

Interview preparation tips for other job seekers - It was good and I am still working here.

Interview Questionnaire 

1 Question

  • Q1. Questions regards node js and java script concept, event loop, why node is single threaded, how event loop works in node js, database queries and previous work experience.

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview experience was absolutely amazing and fantastic.
Advice:
Answer question with confidence.
Feel comfortable with interviewer.

I applied via Campus Placement

Round 1 - Aptitude Test 

In this round you have to clear Aptitude and Basic Coding

Round 2 - Coding Test 

It is pure coding test which is conduct on hacker rank platform. You have to complete 4 question(1 easy + 2 medium + 1 hard)

Round 3 - Technical 

(2 Questions)

  • Q1. Coding question base on Sorting and Array
  • Q2. Some of theory question base on your Project technology and DSA
Round 4 - HR 

(1 Question)

  • Q1. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - Improve your basic concepts and coding skills.

Thinkitive Technologies Interview FAQs

How many rounds are there in Thinkitive Technologies Data Scientist interview?
Thinkitive Technologies interview process usually has 3 rounds. The most common rounds in the Thinkitive Technologies interview process are Technical and HR.
What are the top questions asked in Thinkitive Technologies Data Scientist interview?

Some of the top questions asked at the Thinkitive Technologies Data Scientist interview -

  1. It would be focused on technical stuff in detail ml, nlp, deployments ...read more
  2. mostly about projects ml, nlp, python code would be as...read more
  3. organisation ...read more

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Thinkitive Technologies Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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Thinkitive Technologies Data Scientist Salary
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₹5 L/yr - ₹7 L/yr
62% less than the average Data Scientist Salary in India
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