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dhiOmics Analytics Data Scientist Interview Questions and Answers

Updated 21 Apr 2024

dhiOmics Analytics Data Scientist Interview Experiences

3 interviews found

Data Scientist Interview Questions & Answers

user image 20BMC028 _Sowmiya M

posted on 21 Apr 2024

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

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

Round 1 - Aptitude Test 

32 questions in 45 mins

Round 2 - Technical 

(1 Question)

  • Q1. What is the Classification matric ?
  • Ans. 

    Classification metric is a measure used to evaluate the performance of a classification model.

    • Classification metrics include accuracy, precision, recall, F1 score, ROC-AUC, etc.

    • Accuracy measures the proportion of correct predictions out of the total predictions.

    • Precision measures the proportion of true positive predictions out of all positive predictions.

    • Recall measures the proportion of true positive predictions out o...

  • Answered by AI

Skills evaluated in this interview

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

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

Round 1 - Aptitude Test 

It was easy and simple

Round 2 - HR 

(3 Questions)

  • Q1. What is data science
  • Ans. 

    Data science is a 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 applications include pre...

  • Answered by AI
  • Q2. Basics of sql and python
  • Q3. About projects on resume

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well

Skills evaluated in this interview

Data Scientist Interview Questions Asked at Other Companies

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asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with Random Pointers Given a linked list wher ... read more
asked in Coforge
Q5. coding question of finding index of 2 nos. having total equal to ... read more

I applied via Campus Placement and was interviewed in Oct 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. 1. About the projects.
  • Q2. 2. SQL questions, mainly joins and basics

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a very good experience. Decent amount of statistics, problem solving, statistics is required.

Interview questions from similar companies

I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Machine learning concepts[Regression and classification] ,Python and Sql Basics

Interview Preparation Tips

Interview preparation tips for other job seekers - Cool

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about

Interview Questionnaire 

1 Question

  • Q1. Basic ML
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Campus Placement and was interviewed in Apr 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Aptitude Test 

Java script, angular js, node questions

Round 3 - Technical 

(2 Questions)

  • Q1. Asked about Company and why do you choose genpact?
  • Q2. Questions on my projects and college experience

Interview Preparation Tips

Topics to prepare for Genpact Data Scientist interview:
  • SQL
  • DBMS
  • Operating Systems
Interview preparation tips for other job seekers - Projects mostly and dbms sql
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between supervised and unsupervised learning
  • Ans. 

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

    • Supervised learning requires a target variable for training the model.

    • Examples of supervised learning include classification and regression.

    • Unsupervised learning finds patterns and relationships in data without a target variable.

    • Examples of unsupervised learning include clustering and dimensionality reduction.

  • Answered by AI
  • Q2. What is sigmoid function
  • Ans. 

    Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.

    • Used in machine learning for binary classification problems to produce probabilities

    • Commonly used in logistic regression

    • Has an S-shaped curve

    • Equation: f(x) = 1 / (1 + e^(-x))

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(6 Questions)

  • Q1. Which GenAI projects I have worked on
  • Q2. What is the context window in LLMs
  • Ans. 

    Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.

    • Context window helps LLMs capture dependencies between words in a sentence.

    • A larger context window allows the model to consider more context but may lead to increased computational complexity.

    • For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo

  • Answered by AI
  • Q3. What is top_k parameter
  • Ans. 

    top_k parameter is used to specify the number of top elements to be returned in a result set.

    • top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

    • For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

    • In natural language processing tasks, top_k can be used to limit the number of possible next words in a

  • Answered by AI
  • Q4. What are regex patterns in python
  • Ans. 

    Regex patterns in Python are sequences of characters that define a search pattern.

    • Regex patterns are used for pattern matching and searching in strings.

    • They are created using the 're' module in Python.

    • Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.

  • Answered by AI
  • Q5. What are iterators and tuples
  • Ans. 

    Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.

    • Iterators are used to loop through elements in a collection, like lists or dictionaries

    • Tuples are similar to lists but are immutable, meaning their elements cannot be changed

    • Example of iterator: for item in list: print(item)

    • Example of tuple: my_tuple = (1, 2, 3)

  • Answered by AI
  • Q6. Do I have REST API experience
  • Ans. 

    Yes, I have experience working with REST APIs in various projects.

    • Developed RESTful APIs using Python Flask framework

    • Consumed REST APIs in data analysis projects using requests library

    • Used Postman for testing and debugging REST APIs

  • Answered by AI

Skills evaluated in this interview

dhiOmics Analytics Interview FAQs

How many rounds are there in dhiOmics Analytics Data Scientist interview?
dhiOmics Analytics interview process usually has 2 rounds. The most common rounds in the dhiOmics Analytics interview process are Aptitude Test, HR and Technical.
What are the top questions asked in dhiOmics Analytics Data Scientist interview?

Some of the top questions asked at the dhiOmics Analytics Data Scientist interview -

  1. What is the Classification matri...read more
  2. what is data scie...read more
  3. 2. SQL questions, mainly joins and bas...read more

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dhiOmics Analytics Data Scientist Interview Process

based on 2 interviews

Interview experience

3.5
  
Good
View more
dhiOmics Analytics Data Scientist Salary
based on 17 salaries
₹3.7 L/yr - ₹7 L/yr
64% less than the average Data Scientist Salary in India
View more details

dhiOmics Analytics Data Scientist Reviews and Ratings

based on 3 reviews

2.9/5

Rating in categories

2.9

Skill development

2.2

Work-life balance

2.7

Salary

2.9

Job security

2.2

Company culture

2.4

Promotions

2.4

Work satisfaction

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