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KANINI Software Solutions Jr. Data Scientist Interview Questions and Answers

Updated 11 Oct 2023

KANINI Software Solutions Jr. Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Sep 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Python , ML , NLP
Round 3 - Technical 

(1 Question)

  • Q1. Deployment,ML,NLP,LLM
Round 4 - HR 

(1 Question)

  • Q1. Non technical questions

Interview questions from similar companies

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

I applied via LinkedIn and was interviewed in May 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Quantitative Analysis , Reasoning and verbal

Round 3 - Technical 

(1 Question)

  • Q1. SQL , Python , Machine Learning (prefered)
Round 4 - HR 

(1 Question)

  • Q1. Basic HR questions asked available on internet
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I was interviewed in Jul 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. What is RAG ?
  • Ans. 

    RAG stands for Red, Amber, Green and is a color coding system used to indicate the status of a project or task.

    • RAG is commonly used in project management to quickly communicate the status of different tasks or projects.

    • Red typically indicates that a task or project is behind schedule or facing significant issues.

    • Amber signifies that there are some concerns or risks that need to be addressed.

    • Green means that a task or p...

  • Answered by AI
  • Q2. How you trainined LLM model?
  • Ans. 

    I trained the LLM model using a combination of labeled data, feature engineering, and iterative model tuning.

    • Collected and preprocessed labeled data for training

    • Performed feature engineering to extract relevant features

    • Used iterative model tuning to optimize performance

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI

Skills evaluated in this interview

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. Sql Based Questions on Join, CTE,Advance Functionc
  • Q2. Use case study implementation of logics
  • Ans. 

    Implementing logics in a use case study to analyze data and derive insights.

    • Identify the problem statement and objectives of the study

    • Collect relevant data and clean it for analysis

    • Apply statistical and machine learning techniques to derive insights

    • Interpret the results and communicate findings to stakeholders

  • Answered by AI
Round 2 - Coding Test 

Python, data manipluation, ML, SQl

Interview Preparation Tips

Topics to prepare for LatentView Analytics Senior Data Analyst interview:
  • SQL
  • Python
  • Machine Learning
Interview preparation tips for other job seekers - Practice coding

Skills evaluated in this interview

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

I applied via Walk-in and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Joins questions in sql

Interview Preparation Tips

Topics to prepare for Blenheim Chalcot Jr. Data Scientist interview:
  • SQL
  • Python
  • Machine Learning

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

Round 1 - Coding Test 

Sql and basis python

Round 2 - Case Study 

Business related case study

Round 3 - One-on-one 

(1 Question)

  • Q1. Previous Project discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good with sql and your project experience
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Approached by Company

Round 1 - One-on-one 

(1 Question)

  • Q1. Rating compliment the process

Interview Preparation Tips

Interview preparation tips for other job seekers - Dont go for the interview here pretty petty place immature audience would turn up for interview and it would look like a forced interview.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude question

Round 2 - Technical 

(1 Question)

  • Q1. Basic analysis and ML questions , more focused on approach instead of coding
Round 3 - HR 

(1 Question)

  • Q1. As like other HR rounds
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in May 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Aptitude Test 

Quantitative Analysis , Reasoning and verbal

Round 3 - Technical 

(1 Question)

  • Q1. SQL , Python , Machine Learning (prefered)
Round 4 - HR 

(1 Question)

  • Q1. Basic HR questions asked available on internet
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Lovely Professional University (LPU) and was interviewed before May 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Reverse a string in list
  • Ans. 

    Reverse a string in a list of strings

    • Iterate through each string in the list

    • Use the built-in function to reverse each string

    • Store the reversed strings in a new list

  • Answered by AI
  • Q2. Explain joins in sql
  • Ans. 

    Joins in SQL are used to combine rows from two or more tables based on a related column between them.

    • Joins are used to retrieve data from multiple tables based on a related column

    • Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

    • Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - great

Skills evaluated in this interview

KANINI Software Solutions Interview FAQs

How many rounds are there in KANINI Software Solutions Jr. Data Scientist interview?
KANINI Software Solutions interview process usually has 4 rounds. The most common rounds in the KANINI Software Solutions interview process are Technical, Resume Shortlist and HR.
What are the top questions asked in KANINI Software Solutions Jr. Data Scientist interview?

Some of the top questions asked at the KANINI Software Solutions Jr. Data Scientist interview -

  1. Deployment,ML,NLP,...read more
  2. Non technical questi...read more
  3. Python , ML , ...read more

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KANINI Software Solutions Jr. Data Scientist Salary
based on 9 salaries
₹4 L/yr - ₹7 L/yr
19% less than the average Jr. Data Scientist Salary in India
View more details

KANINI Software Solutions Jr. Data Scientist Reviews and Ratings

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4.0/5

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Company culture

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Promotions

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