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Vimta Labs Scientist Interview Questions and Answers

Updated 5 Sep 2023

Vimta Labs Scientist Interview Experiences

2 interviews found

Scientist Interview Questions & Answers

user image Anonymous

posted on 5 Sep 2023

Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
-

I applied via LinkedIn and was interviewed in Mar 2023. There were 2 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 

(2 Questions)

  • Q1. Chemistry basics and lots of different types of pharmaceuticals applications
  • Q2. CV related and techniques mentioned

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident on whatever you know

Scientist Interview Questions & Answers

user image Muralikrishna Mallempati

posted on 28 Apr 2022

I applied via Naukri.com and was interviewed before Apr 2021. 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 - Technical 

(1 Question)

  • Q1. Questions about all technical details about your previous experience.
Round 3 - Technical 

(1 Question)

  • Q1. About technical and management-related questions.
Round 4 - HR 

(1 Question)

  • Q1. About your behavior and attitude, salary

Interview Preparation Tips

Interview preparation tips for other job seekers - Be strong about your technical skills what you mentioned in your experience

Scientist Interview Questions Asked at Other Companies

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Interview questions from similar companies

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

(3 Questions)

  • Q1. Difference between bagging and boosting
  • Ans. 

    Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.

    • Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

    • Boosting involves training multiple models sequentially, where each subsequent model c...

  • Answered by AI
  • Q2. Parameters of Decision Tree
  • Ans. 

    Parameters of a Decision Tree include max depth, min samples split, criterion, and splitter.

    • Max depth: maximum depth of the tree

    • Min samples split: minimum number of samples required to split an internal node

    • Criterion: function to measure the quality of a split (e.g. 'gini' or 'entropy')

    • Splitter: strategy used to choose the split at each node (e.g. 'best' or 'random')

  • Answered by AI
  • Q3. Explain any one of your project in detail
  • Ans. 

    Developed a predictive model to forecast customer churn in a telecom company

    • Collected and cleaned customer data including usage patterns and demographics

    • Used machine learning algorithms such as logistic regression and random forest to build the model

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

    • Provided actionable insights to the company to reduce customer churn rate

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. In depth project based qiestions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What are the projects worked
  • Q2. How familiar are you with LLMs
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic pandas questions on dataframes
  • Q2. Some quiz questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sql and python questions were there with basic logic check

Round 2 - HR 

(2 Questions)

  • Q1. Python code with funticion
  • Ans. 

    Python code with function

    • Define a function using 'def' keyword

    • Include parameters inside parentheses

    • Use 'return' statement to return a value from the function

  • Answered by AI
  • Q2. Sql with case statwment

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.

Round 1 - Coding Test 

17 questions including mcq, case study, sql coding

Round 2 - Technical 

(1 Question)

  • Q1. 10 quiz about ML questions, case study

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare questions before

I applied via Approached by Company and was interviewed in Jun 2022. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. General discussion on approach on different problems. Skill know how. Project experience.
Round 2 - Group Discussion 

Asked to present on a use case/ project I worked in the past. Many questions were made on presentation in general.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for project story in STAR format. Explain in the detail the business need, background, problem you were solving, and solution you come up.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Approached by Company and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Asked to explain the projects I have done
  • Q2. What part did I play in the projects
  • Ans. 

    I played a key role in designing the data collection process, analyzing the data, and developing predictive models.

    • Led the team in defining project goals and objectives

    • Designed and implemented data collection methods

    • Analyzed data using statistical techniques and machine learning algorithms

    • Developed predictive models to support decision-making

    • Collaborated with stakeholders to interpret results and make recommendations

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your experience questions well and be ready for follow up questions

Vimta Labs Interview FAQs

How many rounds are there in Vimta Labs Scientist interview?
Vimta Labs interview process usually has 3 rounds. The most common rounds in the Vimta Labs interview process are Technical, Resume Shortlist and HR.
How to prepare for Vimta Labs 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 Vimta Labs. The most common topics and skills that interviewers at Vimta Labs expect are HPLC, Chemistry, Analytical Instruments, Finished Products and GC.
What are the top questions asked in Vimta Labs Scientist interview?

Some of the top questions asked at the Vimta Labs Scientist interview -

  1. Chemistry basics and lots of different types of pharmaceuticals applicati...read more
  2. About technical and management-related questio...read more
  3. CV related and techniques mentio...read more

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Vimta Labs Scientist Salary
based on 268 salaries
₹2 L/yr - ₹7 L/yr
57% less than the average Scientist Salary in India
View more details

Vimta Labs Scientist Reviews and Ratings

based on 47 reviews

3.2/5

Rating in categories

3.7

Skill development

3.3

Work-Life balance

2.6

Salary & Benefits

3.3

Job Security

2.9

Company culture

2.6

Promotions/Appraisal

3.1

Work Satisfaction

Explore 47 Reviews and Ratings
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