Upload Button Icon Add office photos

Filter interviews by

Avkalan.ai Data Scientist Interview Questions and Answers

Updated 20 Aug 2024

Avkalan.ai Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. Coding question about creating multiple arrays from one given array in python similar to what you do in itertools but without using itertools library
  • Q2. Multiple data science questions and project questions

Interview questions from similar companies

I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Which job gives me do that work because of this job very important to me

Interview Preparation Tips

Interview preparation tips for other job seekers - No adive

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic Hypothesis Understanding !
  • Q2. Apache Spark and Data Frames

Interview Preparation Tips

Interview preparation tips for other job seekers - Ask clearly for job role they said data scientist but currently I am doing MLOPS

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
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 was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. What is hypothesis testing
  • Ans. 

    Hypothesis testing is a statistical method used to make inferences about a population based on sample data.

    • It involves formulating a hypothesis about a population parameter, collecting data, and using statistical tests to determine if the data supports or rejects the hypothesis.

    • There are two types of hypotheses: null hypothesis (H0) and alternative hypothesis (H1).

    • Common statistical tests for hypothesis testing include...

  • Answered by AI
  • Q2. What is null hypothesis
  • Ans. 

    Null hypothesis is a statement that there is no significant difference or relationship between variables being studied.

    • Null hypothesis is typically denoted as H0 in statistical hypothesis testing.

    • It is the default assumption that there is no effect or relationship.

    • The alternative hypothesis (Ha) is the opposite of the null hypothesis.

    • For example, in a study testing a new drug, the null hypothesis would be that the drug...

  • Answered by AI
  • Q3. What is supervised and unsupervised learning
  • Ans. 

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

    • Supervised learning requires labeled data for training

    • Unsupervised learning does not require labeled data

    • Examples of supervised learning include classification and regression

    • Examples of unsupervised learning include clustering and dimensionality reduction

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Describe the project , EDA
  • Ans. 

    The project involved exploratory data analysis (EDA) to gain insights and identify patterns in the data.

    • Performed data cleaning and preprocessing

    • Visualized data using various charts and graphs

    • Identified correlations and relationships between variables

    • Used statistical methods to analyze data

    • Generated hypotheses for further analysis

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Depends on the interviewer

Skills evaluated in this interview

Round 1 - Technical 

(4 Questions)

  • Q1. 2 round technical interview, both of them about ML and last one concerning statistics and ML.
  • Q2. What is linear regression?
  • Ans. 

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

    • It assumes a linear relationship between the variables

    • It is used to predict the value of the dependent variable based on the independent variable(s)

    • It can be simple linear regression (one independent variable) or multiple linear regression (more than one independent variable)

    • It is commo...

  • Answered by AI
  • Q3. Question regarding confusion matrix?
  • Q4. Name various ML algorithm?
  • Ans. 

    ML algorithms are used to train models on data to make predictions or decisions. Some popular ones are SVM, KNN, and Random Forest.

    • Support Vector Machines (SVM)

    • K-Nearest Neighbors (KNN)

    • Random Forest

    • Naive Bayes

    • Decision Trees

    • Linear Regression

    • Logistic Regression

    • Neural Networks

    • Gradient Boosting

    • Clustering Algorithms (K-Means, Hierarchical)

    • Association Rule Learning (Apriori)

    • Dimensionality Reduction Algorithms (PCA, LDA)

    • Reinf

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Know machine learning and statistics.
Know basics is enough, not need sequenced models

Skills evaluated in this interview

Avkalan.ai Interview FAQs

How many rounds are there in Avkalan.ai Data Scientist interview?
Avkalan.ai interview process usually has 1 rounds. The most common rounds in the Avkalan.ai interview process are Technical.
What are the top questions asked in Avkalan.ai Data Scientist interview?

Some of the top questions asked at the Avkalan.ai Data Scientist interview -

  1. Coding question about creating multiple arrays from one given array in python s...read more
  2. Multiple data science questions and project questi...read more

Tell us how to improve this page.

Avkalan.ai Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Compare Avkalan.ai with

TCS

3.7
Compare

Accenture

3.8
Compare

Wipro

3.7
Compare

Cognizant

3.7
Compare
Did you find this page helpful?
Yes No
write
Share an Interview