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Jash Data Sciences Data Scientist Interview Questions and Answers

Updated 20 Feb 2024

Jash Data Sciences Data Scientist Interview Experiences

2 interviews found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

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

Round 1 - Coding Test 

Python coding test with pure python logic

Round 2 - Technical 

(2 Questions)

  • Q1. Basic concepts of pandas and numpy
  • Q2. Knowledge testing of machine learning & statistics
  • Ans. 

    Machine learning is a subset of artificial intelligence that focuses on building predictive models from data.

    • Machine learning algorithms can be categorized as supervised, unsupervised, or reinforcement learning.

    • Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.

    • Common machine learning algorithms include linear regression, decision trees, support vector machines,

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Jash Data Sciences Data Scientist interview:
  • Python
  • Machine Learning

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Simple addition/subtraction question in python
SQL Questions on RANK

Round 2 - Technical 

(3 Questions)

  • Q1. Describe the working of RNN?
  • Ans. 

    RNN is a type of neural network that can process sequential data by using feedback connections.

    • RNN stands for Recurrent Neural Network.

    • It is designed to handle sequential data such as time series or natural language.

    • RNN has feedback connections that allow information to persist and be passed from one step to the next.

    • Each step of an RNN takes an input and produces an output, which becomes the input for the next step.

    • RN...

  • Answered by AI
  • Q2. Describe the working of CNN
  • Q3. Explain GIT projects
  • Ans. 

    GIT projects are repositories that track changes to code, allowing collaboration and version control.

    • GIT is a distributed version control system used for tracking changes to code.

    • Projects in GIT are stored in repositories, which can be local or remote.

    • GIT allows multiple developers to work on the same project simultaneously.

    • It provides features like branching, merging, and conflict resolution.

    • GIT projects enable collab

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Jash Data Sciences Data Scientist interview:
  • Python
  • SQL
Interview preparation tips for other job seekers - Nothing interested me to join here.
I saw cheap intention here that Juniors taking Interview for Senior Positions and they doesn't want to do us to place above them.

Skills evaluated in this interview

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

(1 Question)

  • Q1. Related Python Questions on Data Science
  • Ans. Brush up your knowledge on pandas numpy scikitlearn
  • Answered Anonymously
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
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 - One-on-one 

(2 Questions)

  • Q1. Technical interview related to my projects and assignments
  • Q2. Difference between supervised and unsupervised learning, k means clustering, knn, SQL joins
  • Ans. 

    Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.

    • Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data

    • K-means clustering is a type of unsupervised learning...

  • Answered by AI

Skills evaluated in this interview

Jash Data Sciences Interview FAQs

How many rounds are there in Jash Data Sciences Data Scientist interview?
Jash Data Sciences interview process usually has 2 rounds. The most common rounds in the Jash Data Sciences interview process are Coding Test and Technical.
How to prepare for Jash Data Sciences Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Jash Data Sciences. The most common topics and skills that interviewers at Jash Data Sciences expect are Django, Machine Learning, Python, Computer Science and Data Science.
What are the top questions asked in Jash Data Sciences Data Scientist interview?

Some of the top questions asked at the Jash Data Sciences Data Scientist interview -

  1. Knowledge testing of machine learning & statist...read more
  2. Describe the working of R...read more
  3. Explain GIT proje...read more

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Jash Data Sciences Data Scientist Salary
based on 13 salaries
₹5.5 L/yr - ₹9 L/yr
51% less than the average Data Scientist Salary in India
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Jash Data Sciences Data Scientist Reviews and Ratings

based on 1 review

3.0/5

Rating in categories

5.0

Skill development

2.0

Work-life balance

2.0

Salary

5.0

Job security

4.0

Company culture

4.0

Promotions

3.0

Work satisfaction

Explore 1 Review and Rating
Data Scientist

Pune

0-5 Yrs

Not Disclosed

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