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GeakMinds Interview Questions and Answers

Updated 9 Nov 2024

GeakMinds Interview Experiences

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6 interviews found

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

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

Round 1 - System Test 

(3 Questions)

  • Q1. Write SQL query to join two tables
  • Ans. 

    SQL query to join two tables

    • Use JOIN keyword to combine rows from two or more tables based on a related column between them

    • Specify the columns to be selected from each table

    • Use ON keyword to specify the join condition

  • Answered by AI
  • Q2. Perform EDA on the provided datasets and find insights
  • Q3. Analyse the datasets and build a Machine Learning model
  • Ans. 

    Analyzing datasets and building a Machine Learning model for Associate Data Scientist role.

    • 1. Explore and understand the datasets to identify patterns and relationships.

    • 2. Preprocess the data by handling missing values, encoding categorical variables, and scaling numerical features.

    • 3. Split the data into training and testing sets for model evaluation.

    • 4. Choose a suitable Machine Learning algorithm based on the nature o...

  • Answered by AI
Round 2 - Technical 

(5 Questions)

  • Q1. Explain Assumptions of Linear Regression
  • Ans. 

    Assumptions of linear regression are important for the model to be valid and reliable.

    • Linear relationship between independent and dependent variables

    • Independence of residuals (errors)

    • Homoscedasticity (constant variance of residuals)

    • Normality of residuals

    • No multicollinearity among independent variables

  • Answered by AI
  • Q2. What is the difference between R-Squared and Adjusted R-Squared?
  • Ans. 

    R-Squared measures the proportion of variance explained by the model, while Adjusted R-Squared adjusts for the number of predictors in the model.

    • R-Squared increases as more predictors are added to the model, even if they are not relevant.

    • Adjusted R-Squared penalizes for adding irrelevant predictors, making it a more reliable measure of model fit.

    • R-Squared can never decrease when adding predictors, while Adjusted R-Squa...

  • Answered by AI
  • Q3. What is Central Mean Theorem?
  • Ans. 

    Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

    • The Central Limit Theorem is a fundamental concept in statistics that states that the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the population distribution, as the sample size increases.

    • It is important because i...

  • Answered by AI
  • Q4. What is the difference between Rank and Dense Rank in SQL?
  • Ans. 

    Rank assigns unique ranks to each row based on the order specified, while Dense Rank assigns consecutive ranks without gaps.

    • Rank may have gaps in ranks if there are ties, while Dense Rank does not have gaps.

    • Rank function is used to assign a unique rank to each row based on the specified order, while Dense Rank function assigns consecutive ranks.

    • Example: If three rows have the same value and are ranked 1, 1, and 2 using...

  • Answered by AI
  • Q5. What is the difference between Series and Dataframe?
  • Ans. 

    Series is a one-dimensional labeled array while Dataframe is a two-dimensional labeled data structure.

    • Series can hold data of any type while Dataframe is a collection of Series.

    • Dataframe is like a table with rows and columns, while Series is like a single column of that table.

    • Dataframe is more versatile and powerful compared to Series.

    • Example: Series - a column of employee names. Dataframe - a table with columns for em

  • Answered by AI
Round 3 - Technical 

(3 Questions)

  • Q1. Explain Random Forest algorithm
  • Ans. 

    Random Forest is an ensemble learning algorithm that creates multiple decision trees and combines their predictions.

    • Random Forest is a collection of decision trees that are trained on random subsets of the data.

    • Each tree in the Random Forest independently predicts the outcome, and the final prediction is made by averaging the predictions of all trees.

    • Random Forest is used for classification and regression tasks, and it...

  • Answered by AI
  • Q2. What is the difference between Stemming and Lemmatization? Which one is better and why?
  • Ans. 

    Stemming reduces words to their root form, while lemmatization reduces words to their dictionary form.

    • Stemming chops off prefixes or suffixes to get the root form (e.g. 'running' becomes 'run')

    • Lemmatization uses vocabulary analysis to reduce words to their base form (e.g. 'better' becomes 'good')

    • Lemmatization is more accurate but slower than stemming

    • Stemming is faster but may not always result in a valid word

  • Answered by AI
  • Q3. Questions about my previous projects

Interview Preparation Tips

Topics to prepare for GeakMinds Associate Data Scientist interview:
  • Data Science
  • Machine Learning
  • Python
  • SQL
  • Pandas
  • Statistics
Interview preparation tips for other job seekers - Good understanding of basic data science concepts is enough
Confidence and attitude toward answering questions are important

Skills evaluated in this interview

Top GeakMinds Associate Data Scientist Interview Questions and Answers

Q1. What is the difference between Rank and Dense Rank in SQL?
View answer (1)

Associate Data Scientist Interview Questions asked at other Companies

Q1. Why do you think the objective of predictive modeling is minimizing the cost function? How would you define a cost function after all?
View answer (1)
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Naukri.com and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Logical reasoning, verbal aptitude

Round 2 - Technical 

(2 Questions)

  • Q1. Stemming vs lemmatisation
  • Ans. 

    Stemming reduces words to their root form, while lemmatisation reduces words to their dictionary form.

    • Stemming is faster but less accurate than lemmatisation

    • Stemming may result in non-words, while lemmatisation always results in valid words

    • Example: Stemming - running, runs, ran all reduced to run. Lemmatisation - running, runs, ran all reduced to run

  • Answered by AI
  • Q2. Explain linear regression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Family background
  • Q2. Compensation discussion

Skills evaluated in this interview

Junior Data Analyst Interview Questions asked at other Companies

Q1. What is the main difference between data mining and data analysis?
View answer (4)
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. List, Array, Polymorphism

Jr Python Developer Interview Questions asked at other Companies

Q1. Alice has n candies, where each candy is a different type. She wants to split them equally with her brother, Bob. The Doctor advised Alice to only eat n?2 of the candies she has. Return the maximum number of unique candy types Alice can hav... read more
View answer (1)

Director Interview Questions & Answers

user image Anonymous

posted on 17 Apr 2024

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

I applied via Referral and was interviewed before Apr 2023. There were 5 interview rounds.

Round 1 - Coding Test 

Coding Knowledge been checked

Round 2 - Technical 

(1 Question)

  • Q1. Technical skills been tested
Round 3 - Case Study 

Case of certain domain projects

Round 4 - HR 

(2 Questions)

  • Q1. About my expectations
  • Q2. About Companies expectations from me
Round 5 - One-on-one 

(1 Question)

  • Q1. With CEO of Geakminds about company.

Interview Preparation Tips

Topics to prepare for GeakMinds Director interview:
  • Data Science
  • Artificial Intelligence
Interview preparation tips for other job seekers - Come with a good preparation keeping in mind that you are entering into your future.

Director Interview Questions asked at other Companies

Q1. On what basis would you enhance the pipeline products of the company?
View answer (2)

GeakMinds interview questions for popular designations

 Associate Data Scientist

 (1)

 Data Scientist Intern

 (1)

 Director

 (1)

 Junior Data Analyst

 (1)

 Associate Software Test Engineer

 (1)

 Jr Python Developer

 (1)

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

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

Round 1 - Aptitude Test 

Deals with mathematics and coding related queries

Round 2 - Coding Test 

Test our coding knowledge

Round 3 - One-on-one 

(1 Question)

  • Q1. About your previous work and studies

Associate Software Test Engineer Interview Questions asked at other Companies

Q1. Write a java code to generate fibonacci series
View answer (2)
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2022. There were 3 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 - Aptitude Test 

Basis logic & reasoning

Round 3 - Coding Test 

Dataset given and analysis done .

Interview Preparation Tips

Interview preparation tips for other job seekers - Just strong with the fundamental of statistics and python

Data Scientist Intern Interview Questions asked at other Companies

Q1. In case deadline is approaching, whether you will compromise with project quality?
View answer (1)

Jobs at GeakMinds

View all

Interview questions from similar companies

I appeared for an interview before May 2016.

Interview Preparation Tips

College Name: GPREC kurnool

Interview Preparation Tips

Round: Test
Experience: CAT-type data interpretation test.30 questions in 35 minutes.Fast graph interpretation and quick calculations.
Tips: CAT preparation will help.
Duration: 35 minutes
Total Questions: 30

Round: Case Study Interview
Experience: A simple case, based on the credit card industry or any other field, is given. Cases lay more focus on quantitative skills apart from the focus on asking the right questions.There is a shortlist made after each case round.
Tips:  Fast calculation and insight into what data may be required to solve the case are essential.Practice the cases given on their website and at www.beprepared.in.

Round: Behavorial Interview
Experience: Questions are asked based on incidents- give examples of instances when you led a team successfully or when you had to go against your team, etc.
Tips:  Practice HR questions from HLPQ.

General Tips: Positions Of Responsibility (PORs) are required but not mandatory. They are of secondary importance if one has scored well in the exam. A good CV with good internships/projects will help one to get shortlisted.
Skill Tips: "Student needs to be quick with simple percentage calculations."
Skills: Basic Quantitative skills
College Name: IIT Kharagpur

Interview Preparation Tips

Round: Test
Experience: Written Test ( DI questions, each involving 2-3 plots)

Round: Interview
Experience: Started with a “Tell me something about your-self question”. I believe it was just to set the ball rolling and was not evaluated. The interviewer then gave me a case question wherein I had to make a choice between a diesel and a petrol car. There were 3 parts to the question (some candidates were asked 1 / 2 as well). The first dealt with finding the breakeven point given the basic set of cost, fuel price and fuel consumption data. Next was to find breakeven considering the money was acquired at a certain rate of interest (bond/loan). Both these results involved basic calculation and I was comfortable with them. The final part was about calculating the breakeven, again, but this time considering depreciation. This is where I was caught off guard and though I did turn up with a figure, the interviewer was not completely satisfied.

General Tips: Do get a basic background of the firm and also about terms in the related field.
Skill Tips: I was not hesitant and was reasonably confident while answering. What went wrong was perhaps the fact that I was caught unaware of how depreciation works and how it had to be included in the equation. I fumbled a lot with the equation and puzzled as to where to include terms for depreciation etc.
College Name: IIT KANPUR

Interview Preparation Tips

Round: Test
Experience: There was test which was purely data analysis and calculator was allowed. So the procedure that they follow is that first they shortlist 50 people and a small case interview is followed. The case I was asked was to calculate the change in the cost of a grocery store if it has changed its model from cash on delivery with a physical store to an online portal which has cash on delivery option. As I had practiced it already I took some time to give structure and then gave 3-4 reasons for change in cost and then he gave me some numbers based on which I had to calculate the break even time period or amount . But I think he expected a little bit different approach or was searching for a different solution as I wasn't selected for the final interview sessions. I think 22 people were selected for the final interview session out of which 2 people were finally selected in Cap One.

College Name: IIT KANPUR

GeakMinds Interview FAQs

How many rounds are there in GeakMinds interview?
GeakMinds interview process usually has 3 rounds. The most common rounds in the GeakMinds interview process are Technical, Aptitude Test and Coding Test.
How to prepare for GeakMinds 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 GeakMinds. The most common topics and skills that interviewers at GeakMinds expect are Python, SQL, Machine Learning, Javascript and Azure.
What are the top questions asked in GeakMinds interview?

Some of the top questions asked at the GeakMinds interview -

  1. What is the difference between Rank and Dense Rank in S...read more
  2. What is the difference between Stemming and Lemmatization? Which one is better ...read more
  3. What is the difference between R-Squared and Adjusted R-Squar...read more
How long is the GeakMinds interview process?

The duration of GeakMinds interview process can vary, but typically it takes about less than 2 weeks to complete.

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GeakMinds Interview Process

based on 8 interviews

Interview experience

4.4
  
Good
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GeakMinds Reviews and Ratings

based on 45 reviews

4.6/5

Rating in categories

4.4

Skill development

4.5

Work-life balance

3.8

Salary

4.5

Job security

4.5

Company culture

3.9

Promotions

4.4

Work satisfaction

Explore 45 Reviews and Ratings
Team Lead | GeakMinds | Chennai

Chennai

7-10 Yrs

Not Disclosed

North America Marketing Director

Chennai

10-12 Yrs

Not Disclosed

Sales Enablement Specialist

Chennai

3-5 Yrs

Not Disclosed

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