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UPL Data Scientist Interview Questions and Answers

Updated 26 Oct 2023

UPL Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
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 - Technical 

(2 Questions)

  • Q1. What is data science
  • Ans. 

    Data science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

    • Data science involves collecting, analyzing, and interpreting large amounts of data to solve complex problems.

    • It combines statistics, machine learning, data visualization, and domain expertise to make data-driven decisions.

    • Examples of data science applic...

  • Answered by AI
  • Q2. What are different ml algorithms
  • Ans. 

    Machine learning algorithms are techniques used to enable machines to learn from data and make predictions or decisions without being explicitly programmed.

    • Supervised learning algorithms: Decision Trees, Random Forest, Support Vector Machines

    • Unsupervised learning algorithms: K-means Clustering, Hierarchical Clustering, Principal Component Analysis

    • Reinforcement learning algorithms: Q-Learning, Deep Q-Networks

    • Deep learni...

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Basic questions regarding ANOVA, Regression, Classification, Design of Experiments
  • Q2. Practical questions for computer vision project that I did in my PhD
Round 2 - HR 

(2 Questions)

  • Q1. Regarding Relocation
  • Q2. Can't remember much It's long time

Associate Interview Questions & Answers

Syngenta user image Prathamesh Prashant Lambe

posted on 1 Jan 2024

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

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

Round 1 - Aptitude Test 

General knowledge test about field

Round 2 - One-on-one 

(1 Question)

  • Q1. How will you contribute to organisation

Interview Preparation Tips

Interview preparation tips for other job seekers - Give your best to company
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
No response

I applied via Campus Placement

Round 1 - Technical 

(1 Question)

  • Q1. Explain logistic regression
  • Ans. 

    Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.

    • Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.

    • It estimates the probability of the outcome using a logistic function.

    • The model calculates the odds of the outcome and transforms them into probabilities.

    • It uses a logit link ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - go through the fundamentals of machine learning

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is pandas?
  • Ans. 

    pandas is a Python library used for data manipulation and analysis.

    • pandas provides data structures like DataFrame and Series for working with structured data

    • It offers tools for cleaning, transforming, and analyzing data

    • pandas can handle various data formats like CSV, Excel, SQL databases, and more

  • Answered by AI
  • Q2. While webscraping, do HTML tables also get extracted?
  • Ans. 

    Yes, HTML tables can be extracted while webscraping.

    • HTML tables can be extracted using libraries like BeautifulSoup in Python.

    • The data from the HTML tables can be converted into a structured format like CSV or Excel.

    • Webscraping tools like Octoparse and Import.io can also extract HTML tables.

    • Regular expressions can be used to extract specific data from HTML tables.

  • Answered by AI

Skills evaluated in this interview

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. ML, SQL, Stats & Python fundamentals
  • Q2. Deep discussion about ML algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - You need to have your basics correct for ML, statistics, SQL and python.
For second round, a good understanding of Machine learning algorithms is needed.
Interview experience
4
Good
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 - Technical 

(1 Question)

  • Q1. Only technical discussion
Round 3 - Technical 

(1 Question)

  • Q1. Only technical discussion on data models, AWS and sparks

I applied via Naukri.com and was interviewed before May 2018. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Process related.. Safety relates.. Process flow diagram

Interview Preparation Tips

Round: Test
Experience: Process related

General Tips: Be confident.. Tell as much as u know
Skills: Communication, Body Language, Leadership, Presentation Skills, Decision Making Skills
Duration: 1-4 weeks

Interview Questionnaire 

5 Questions

  • Q1. What yoy like changes
  • Q2. Safety precautions
  • Q3. Production planning
  • Q4. Manpower handling
  • Q5. Reduce use of natural resources
  • Ans. 

    Reducing natural resource use is crucial for sustainability. Here are some ways to achieve it.

    • Encourage recycling and reuse of materials

    • Promote energy-efficient practices

    • Use renewable energy sources

    • Reduce water consumption

    • Implement sustainable agriculture and forestry practices

    • Support conservation efforts

    • Encourage responsible consumption and production

    • Invest in research and development of sustainable technologies

  • Answered by AI

I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Introduction you're self
Round 2 - Technical 

(1 Question)

  • Q1. Products knowledge &

Interview Preparation Tips

Interview preparation tips for other job seekers - Knowledge products/ market knowledge locally area knowledge

UPL Interview FAQs

How many rounds are there in UPL Data Scientist interview?
UPL interview process usually has 2 rounds. The most common rounds in the UPL interview process are Resume Shortlist and Technical.
How to prepare for UPL 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 UPL. The most common topics and skills that interviewers at UPL expect are Python, Machine Learning, Data Science, R and SCALA.
What are the top questions asked in UPL Data Scientist interview?

Some of the top questions asked at the UPL Data Scientist interview -

  1. What are different ml algorit...read more
  2. What is data scie...read more

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UPL Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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UPL Data Scientist Salary
based on 21 salaries
₹9.2 L/yr - ₹31.6 L/yr
25% more than the average Data Scientist Salary in India
View more details

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based on 5 reviews

3.3/5

Rating in categories

3.3

Skill development

3.5

Work-life balance

3.0

Salary

3.5

Job security

3.5

Company culture

2.5

Promotions

3.1

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