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Blackcoffer Data Scientist Interview Questions and Answers

Updated 2 Feb 2025

Blackcoffer Data Scientist Interview Experiences

3 interviews found

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Assignment 

An extremely challenging assignment was given with a very tight deadline. After submitting the assignment, an interview was scheduled during which numerous questions were asked about it, along with requests for complex modifications. Overall, the process was quite difficult.

Round 2 - HR 

(1 Question)

  • Q1. General questions, work life balance, but tough questions in technical

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview is extremely challenging, especially for fresh graduates. The questions asked were difficult; even major companies like IBM and Accenture do not pose such high-level questions during their hiring process, even for experienced candidates.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Internshala and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Basic simple easy aptitude questions

Round 2 - Assignment 

They gave 6 days for a Web Scrapping-NLP based assignment project to submit

Round 3 - Technical 

(4 Questions)

  • Q1. Asked the approach to the assignment round
  • Q2. How to handle imbalanced data in dataset
  • Ans. 

    Handling imbalanced data involves techniques like resampling, using different algorithms, and adjusting class weights.

    • Use resampling techniques like oversampling or undersampling to balance the dataset

    • Utilize algorithms that are robust to imbalanced data, such as Random Forest, XGBoost, or SVM

    • Adjust class weights in the model to give more importance to minority class

  • Answered by AI
  • Q3. While dynamic update of information in dataset to maintain the integrity and generalization of the data what measures will you use
  • Ans. 

    To maintain data integrity and generalization, use techniques like data cleaning, normalization, and feature engineering.

    • Perform data cleaning to remove errors, duplicates, and inconsistencies.

    • Normalize data to ensure consistency and comparability.

    • Utilize feature engineering to create new features or transform existing ones for better model performance.

  • Answered by AI
  • Q4. Different softwares for data analysis which i have used
  • Ans. 

    I have used various software for data analysis including Python, R, SQL, Tableau, and Excel.

    • Python - for data cleaning, manipulation, and modeling

    • R - for statistical analysis and visualization

    • SQL - for querying databases

    • Tableau - for creating interactive visualizations

    • Excel - for basic data analysis and visualization

  • Answered by AI

Skills evaluated in this interview

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Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Assignment 

Web scrapping and sentiment analysis

Round 2 - One-on-one 

(1 Question)

  • Q1. Explain how you complete assignment
  • Ans. 

    I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.

    • Break down the assignment into smaller tasks to make it more manageable

    • Set deadlines for each task to stay on track

    • Regularly check progress and make adjustments as needed

    • Seek feedback from peers or supervisors to improve the quality of work

  • Answered by AI

Interview questions from similar companies

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

I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Mostly about projects ml, nlp, python code would be asked
Round 2 - Technical 

(1 Question)

  • Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
Round 3 - HR 

(1 Question)

  • Q1. Organisation fit
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 

(2 Questions)

  • Q1. No question was asked
  • Q2. Same as above, zero questions were asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Just for the compulsary internship scenerio, you can take it. Although, you will learn, but it is a sort of class, you aren't very encouraged to apply your knowledge much.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - CV shortlist 

(2 Questions)

  • Q1. Why do we hire you?
  • Ans. 

    I have a strong background in data analysis, machine learning, and problem-solving skills that make me a valuable asset to your team.

    • Extensive experience in data analysis and machine learning techniques

    • Proven track record of solving complex problems using data-driven approaches

    • Strong communication and collaboration skills demonstrated through team projects and internships

  • Answered by AI
  • Q2. What contributions should you make?
  • Ans. 

    As a Data Science Intern, I should contribute by analyzing data, developing models, and providing insights to drive decision-making.

    • Analyze data to identify trends and patterns

    • Develop predictive models to forecast outcomes

    • Provide actionable insights to stakeholders

    • Contribute to data-driven decision-making processes

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Mar 2024.

Round 1 - HR 

(2 Questions)

  • Q1. What experience do you have in this role?
  • Q2. What tools or technologies are you comfortable using?
  • Ans. 

    I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.

    • Excel: Advanced functions, pivot tables, and data visualization.

    • SQL: Writing complex queries for data extraction and manipulation.

    • Python: Utilizing libraries like Pandas and NumPy for data analysis.

    • Tableau: Creating interactive dashboards for data visualization.

    • R: Statistical analysis and data visualiza

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Follow Up – A simple follow-up email can increase your chances of getting hired.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the pivot table in Excel
  • Ans. 

    A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.

    • Allows users to summarize and analyze large datasets

    • Can easily reorganize data by dragging and dropping fields

    • Provides options to calculate sums, averages, counts, etc. for data

    • Helps in creating interactive reports and charts

    • Useful for identifying trends and patterns in data

  • Answered by AI
  • Q2. A pivot table is used to summarize...........etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - "tailor your resume for each job application."

Skills evaluated in this interview

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

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

Round 1 - Assignment 

Based on my CV, they assigned me a task related to data migration.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Project reviews
  • Q2. Attendance regarding

Blackcoffer Interview FAQs

How many rounds are there in Blackcoffer Data Scientist interview?
Blackcoffer interview process usually has 2-3 rounds. The most common rounds in the Blackcoffer interview process are Assignment, Technical and HR.
How to prepare for Blackcoffer 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 Blackcoffer. The most common topics and skills that interviewers at Blackcoffer expect are Data Analytics, Data Science, Python, R and AWS.
What are the top questions asked in Blackcoffer Data Scientist interview?

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

  1. while dynamic update of information in dataset to maintain the integrity and ge...read more
  2. different softwares for data analysis which i have u...read more
  3. how to handle imbalanced data in data...read more

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Blackcoffer Data Scientist Interview Process

based on 5 interviews

Interview experience

2.4
  
Poor
View more
Blackcoffer Data Scientist Salary
based on 23 salaries
₹1 L/yr - ₹5.5 L/yr
71% less than the average Data Scientist Salary in India
View more details

Blackcoffer Data Scientist Reviews and Ratings

based on 11 reviews

1.8/5

Rating in categories

2.8

Skill development

1.9

Work-life balance

1.9

Salary

1.9

Job security

1.9

Company culture

1.8

Promotions

2.2

Work satisfaction

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