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Impact Analytics Deep Learning Engineer Interview Questions, Process, and Tips

Updated 31 Oct 2023

Impact Analytics Deep Learning Engineer Interview Experiences

1 interview 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 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 - Technical 

(3 Questions)

  • Q1. What are different types of regression analysis ?
  • Ans. 

    Different types of regression analysis include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.

    • Linear regression: Predicts a continuous outcome based on one or more input features.

    • Logistic regression: Predicts the probability of a binary outcome.

    • Polynomial regression: Fits a curve to the data by including polynomial terms.

    • Ridge regression: Adds a penalty term to the...

  • Answered by AI
  • Q2. What is confusion matrix?
  • Ans. 

    Confusion matrix is a table used to evaluate the performance of a classification model.

    • It is a matrix with rows representing the actual class and columns representing the predicted class.

    • It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.

    • It is commonly used in machine learning to assess the quality of th...

  • Answered by AI
  • Q3. Questions around python programming
Round 3 - Technical 

(2 Questions)

  • Q1. Explain the architecture of Transformer based models.
  • Ans. 

    Transformer based models use self-attention mechanism to capture long-range dependencies in data.

    • Transformer models consist of encoder and decoder layers.

    • Self-attention mechanism allows each word to attend to all other words in the input sequence.

    • Positional encoding is added to input embeddings to provide information about the position of words.

    • Transformer models have achieved state-of-the-art results in various NLP ta...

  • Answered by AI
  • Q2. Different NLP techniques around extraction of text.
  • Ans. 

    Various NLP techniques for text extraction include Named Entity Recognition, Part-of-Speech tagging, and Dependency Parsing.

    • Named Entity Recognition (NER) identifies entities such as names, dates, and locations in text.

    • Part-of-Speech tagging assigns grammatical categories to words in a sentence.

    • Dependency Parsing analyzes the grammatical structure of a sentence to identify relationships between words.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Impact Analytics Deep Learning Engineer interview:
  • Machine Learning
  • Deep Learning
  • Transformers
  • BERT
  • NLP
  • Python
  • Statistics
  • Pandas
  • Excel
Interview preparation tips for other job seekers - The interview process from start to end is good. There are a total of 3 rounds including one HR round. Most of the questions asked are around the domain area and level is moderate. The interview process is engaging and friendly and open for suggestions. Applicant should have good experience and knowledge on the domain area (eg. Data Science). Retail domain knowlege is a plus.

Skills evaluated in this interview

Interview questions from similar companies

I appeared for an interview before Sep 2020.

Round 1 - Coding Test 

(1 Question)

Round duration - 60 mins
Round difficulty - Medium

  • Q1. 

    Railway Seat Berth Determination

    Given a railway seat number represented as an integer, determine if it is a valid seat number and identify its berth type. Possible berth types include lower berth, middle...

  • Ans. 

    Given a railway seat number, determine if it is valid and identify its berth type.

    • Parse input integer 't' for number of test cases

    • For each test case, check if seat number is valid (1 <= N <= 100)

    • Identify berth type based on seat number and output the result

    • Possible berth types are Lower, Middle, Upper, Side Lower, and Side Upper

  • Answered by AI
Round 2 - Video Call 

(1 Question)

Round duration - 90 mins
Round difficulty - Hard

First they asked me to introduce myself then they started questioning on oops concept from basic to advance level such as inheritance, polymorphism, abstraction, exception handling , STL etc. Next they started questioning on data structures. They asked me the logic of “how to find the middle of a linked list”.

  • Q1. 

    Matrix Symmetry Check

    You are provided with a square matrix. Your task is to return true if the matrix is symmetric; otherwise, return false.

    A symmetric matrix is characterized by its transpose being eq...

  • Ans. 

    Check if a square matrix is symmetric by comparing it with its transpose.

    • Iterate through the matrix and compare each element with its corresponding element in the transpose

    • If any pair of elements do not match, return false immediately

    • If all pairs match, return true at the end

  • Answered by AI

Interview Preparation Tips

Professional and academic backgroundI completed Computer Science Engineering from K. K. Wagh Institute Of Engineering Education And Research. I applied for the job as Software Engineer in PuneEligibility criteria6.0 CGPAJosh Technology Group interview preparation:Topics to prepare for the interview - Data Structures, OOPS, DBMS, Python, SQLTime required to prepare for the interview - 3 monthsInterview preparation tips for other job seekers

Tip 1 : Clear the basic concepts of data structure and OOPs.
Tip 2 : Use coding ninja platform and Hackerearth for practice on coding skills.
Tip 3 : Use Geeks For Geeks for interview preparation.

Application resume tips for other job seekers

Tip 1: Make your resume short and try to make it of one page only.
Tip 2: Add relevant keywords

Final outcome of the interviewRejected

Skills evaluated in this interview

I applied via Recruitment Consultant and was interviewed in Apr 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Object Oriented Concepts and basic list/tuple/dictionary/ datetime conversion
  • Q2. Project done in last company and how will you help Saama?

Interview Preparation Tips

Interview preparation tips for other job seekers - Try to frame answers end to end and stick to what you have done. Don't try to exaggerate.

I applied via Campus Placement and was interviewed before Jul 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. Check if binary tree is balanced or not.
  • Ans. 

    Check if binary tree is balanced or not.

    • A balanced binary tree has the height of left and right subtrees differ by at most 1.

    • Recursively check the height of left and right subtrees and compare.

    • Use a helper function to calculate the height of a subtree.

    • Time complexity: O(nlogn) for a balanced tree, O(n^2) for a skewed tree.

  • Answered by AI
  • Q2. Detect loops in linked list.
  • Ans. 

    Detect loops in a linked list.

    • Use two pointers, one moving at a faster pace than the other.

    • If there is a loop, the faster pointer will eventually catch up to the slower one.

    • To detect the start of the loop, reset one pointer to the head and move both pointers at the same pace.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview experience was good, do your DS Algo questoin thoroughly.

Skills evaluated in this interview

I applied via Referral and was interviewed before Aug 2021. There were 2 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 

General topics like mathe, English, social etc

Interview Preparation Tips

Topics to prepare for IT By Design Software Engineer interview:
  • Python
  • general
Interview preparation tips for other job seekers - It is best choice to our life . If I can join in this company. I can learn more things by gaining work experience.
Round 1 - Group Discussion 

It represents the eligibility of person and thinking process ,view of thoughts

Round 2 - One-on-one 

(1 Question)

  • Q1. We cannot judge people to atonce chance
Round 3 - Coding Test 

Skills ,fast typing , experienced ,new ideas

Round 4 - Technical 

(1 Question)

  • Q1. All the knowledge of technical work and word
Round 5 - Case Study 

Deeply study case and make a point to make attractive

Interview Preparation Tips

Interview preparation tips for other job seekers - Every chance have a successful of key.will appreciate all chance to way of your dreams .move a first steps towards your dreams

Interview Questionnaire 

1 Question

  • Q1. SOLID principles examples in depth,given to design user management database in sql(just flow diagram,and in which table which value is used),some basic c# questions related to how you log in c#

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

Interview Questionnaire 

4 Questions

  • Q1. API testing methods
  • Ans. 

    API testing methods involve functional, performance, security, and exploratory testing.

    • Functional testing ensures that the API meets the requirements and specifications.

    • Performance testing checks the API's response time, throughput, and resource utilization.

    • Security testing verifies the API's authentication, authorization, and encryption mechanisms.

    • Exploratory testing involves ad-hoc testing to discover defects and usa...

  • Answered by AI
  • Q2. Difference between sanity and smoke
  • Ans. 

    Sanity and Smoke are types of software testing. Sanity tests a specific functionality while Smoke tests the entire system.

    • Sanity testing is a narrow and deep testing approach while Smoke testing is a broad and shallow testing approach.

    • Sanity testing is performed after a small change in code while Smoke testing is performed after a major change in code.

    • Sanity testing is used to check if the critical functionalities are ...

  • Answered by AI
  • Q3. Difference between retesting and regression
  • Ans. 

    Retesting is testing the same functionality again after fixing the defects. Regression is testing the unchanged functionality after making changes.

    • Retesting is done to ensure that the defects have been fixed and the functionality is working as expected.

    • Regression is done to ensure that the changes made to the software have not affected the existing functionality.

    • Retesting is a subset of regression testing.

    • Retesting is ...

  • Answered by AI
  • Q4. Bug life cycle

Interview Preparation Tips

Interview preparation tips for other job seekers - It was technical based interview round.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

They totally select you on the basis of aptitude only

Round 3 - Technical 

(1 Question)

  • Q1. It is also based on aptitude

Interview Preparation Tips

Interview preparation tips for other job seekers - to have a good knowledge over aptitude
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

MCQ questions on OS, JS and HTML

Round 2 - Coding Test 

Basic Questions from resume. String/Array DSA questions

Impact Analytics Interview FAQs

How many rounds are there in Impact Analytics Deep Learning Engineer interview?
Impact Analytics interview process usually has 3 rounds. The most common rounds in the Impact Analytics interview process are Technical and Resume Shortlist.
What are the top questions asked in Impact Analytics Deep Learning Engineer interview?

Some of the top questions asked at the Impact Analytics Deep Learning Engineer interview -

  1. What are different types of regression analysi...read more
  2. Explain the architecture of Transformer based mode...read more
  3. Different NLP techniques around extraction of te...read more

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Impact Analytics Deep Learning Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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4.0/5

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5.0

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3.0

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4.0

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4.0

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4.0

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