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Innovaccer Data Analyst Intern Interview Questions and Answers

Updated 17 Oct 2024

Innovaccer Data Analyst Intern Interview Experiences

2 interviews found

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Python coding, simple

Round 2 - Technical 

(2 Questions)

  • Q1. Data analytics related, imbalanced data set handling
  • Q2. Overfit and how to fix that
  • Ans. 

    Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.

    • Regularization techniques like L1 and L2 regularization can help prevent overfitting by penalizing large coefficients.

    • Cross-validation can be used to evaluate the model's performance on unseen data and prevent overfitting.

    • Feature selection or dimensionality reduction techniques can help reduce overfitting by focusin...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

It had 1 SQL question & 1 question on Dynamic Programming.

Round 2 - Technical 

(2 Questions)

  • Q1. Question on group by, aggregate functions.
  • Q2. Window functions
Round 3 - HR 

(2 Questions)

  • Q1. What projects have you worked on ?
  • Q2. Any interesting problem solved ?
  • Ans. 

    Developed a predictive model to forecast customer churn for a telecom company.

    • Identified key factors contributing to customer churn such as call drop rates and customer service response times.

    • Collected and cleaned data from various sources including customer call logs and service records.

    • Used machine learning algorithms such as logistic regression and random forest to build the predictive model.

    • Achieved a prediction ac...

  • Answered by AI

Data Analyst Intern Interview Questions Asked at Other Companies

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Q2. Insertion Sort in a Linked List Given a singly linked list with ' ... read more
Q3. What is the difference between loc and iloc in data science, and ... read more
Q4. Can you explain the different types of keys in a database and the ... read more
Q5. What do you mean by MTD ? How to create it

Interview questions from similar companies

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 Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. On Project from resume
  • Q2. GenAI basics
Round 2 - Technical 

(2 Questions)

  • Q1. RAG, LLM, Azure OpenAI
  • Q2. Python questions

Interview Preparation Tips

Topics to prepare for Axtria Data Scientist interview:
  • genai
  • Python
  • Llm
Interview preparation tips for other job seekers - Good interview process, good interviewer
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Questions related to Python and SQL, as well as a few multiple-choice questions in data science.

Round 2 - Technical 

(2 Questions)

  • Q1. Project Explanation as well query related to project
  • Q2. Machine learning basic question
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

It contain both Aptitude and Coding about base models and Deep learning too

Round 2 - Technical 

(2 Questions)

  • Q1. What different models technique ?
  • Ans. 

    Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.

    • Linear regression is used for predicting continuous values.

    • Decision trees are used for classification and regression tasks.

    • Random forests are an ensemble method based on decision trees.

    • Support vector machines are used for classification tasks.

    • Neural networks are used for complex pattern re

  • Answered by AI
  • Q2. What are performance metric where to use what?
  • Ans. 

    Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.

    • For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.

    • For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.

    • For clustering models, metrics like silhouette score and Davies-Bouldin in...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Explain about Project
  • Q2. What are problems faced in that project?

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
  • Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
  • Ans. 

    Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.

    • Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

    • Adam optimizer uses adaptive learning rates for each parameter.

    • Gradient Descent optimizer has a fixed learning rate for all parameters.

    • Adam optimizer includes momentum to speed up convergence.

    • Gradient Descent optimizer updates parameters b...

  • Answered by AI
  • Q3. When to use Relu and when not?
  • Ans. 

    Use ReLU for hidden layers in deep neural networks, avoid for output layers.

    • ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

    • Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

    • Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

    • ReLU is computationally efficient and helps in preventing the vanishing gradient prob...

  • Answered by AI

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Chetu user image Abhilasha Dimble

posted on 22 Feb 2024

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(1 Question)

  • Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys, interviewer is really wierd...very rude...
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
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 was 1 interview round.

Round 1 - Coding Test 

Project regarding data science

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sql and python questions were there with basic logic check

Round 2 - HR 

(2 Questions)

  • Q1. Python code with funticion
  • Ans. 

    Python code with function

    • Define a function using 'def' keyword

    • Include parameters inside parentheses

    • Use 'return' statement to return a value from the function

  • Answered by AI
  • Q2. Sql with case statwment

Skills evaluated in this interview

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

I applied via Campus Placement and was interviewed in Nov 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Questions related to the projects in the resume and some questions on machine learning concepts.

Innovaccer Interview FAQs

How many rounds are there in Innovaccer Data Analyst Intern interview?
Innovaccer interview process usually has 2-3 rounds. The most common rounds in the Innovaccer interview process are Coding Test, Technical and HR.
What are the top questions asked in Innovaccer Data Analyst Intern interview?

Some of the top questions asked at the Innovaccer Data Analyst Intern interview -

  1. overfit and how to fix t...read more
  2. Any interesting problem solve...read more
  3. data analytics related, imbalanced data set handl...read more

Tell us how to improve this page.

Innovaccer Data Analyst Intern Interview Process

based on 4 interviews

Interview experience

3.8
  
Good
View more

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₹12 L/yr - ₹13 L/yr
340% more than the average Data Analyst Intern Salary in India
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