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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 Resume 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

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

(1 Question)

  • Q1. Basic QA related Questions

I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Basic js concepts

Interview Preparation Tips

Interview preparation tips for other job seekers - Good
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

Online coding test with Sql and python questions

Round 2 - Technical 

(5 Questions)

  • Q1. Details about project and experience
  • Q2. Pyspark and databricks questions
  • Q3. What is Spark context
  • Ans. 

    Spark context is the main entry point for Spark functionality and represents the connection to a Spark cluster.

    • Main entry point for Spark functionality

    • Represents connection to a Spark cluster

    • Used to create RDDs, broadcast variables, and accumulators

  • Answered by AI
  • Q4. What is inheritance
  • Ans. 

    Inheritance is a concept in object-oriented programming where a class can inherit attributes and methods from another class.

    • Allows for code reusability by creating a new class based on an existing class

    • Derived class inherits properties and behaviors of the base class

    • Supports the concept of polymorphism and encapsulation

    • Example: Class 'Car' can inherit from class 'Vehicle' and inherit its attributes like 'color' and met

  • Answered by AI
  • Q5. What is sparkconfig
  • Ans. 

    SparkConfig is a configuration object used in Apache Spark to set various parameters for Spark applications.

    • SparkConfig is used to set properties like application name, master URL, and other Spark settings.

    • It is typically created using SparkConf class in Spark applications.

    • Example: val sparkConf = new SparkConf().setAppName("MyApp").setMaster("local")

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare sql and databricks and you are good to go. Also watch out for comms skills

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Technical 

(1 Question)

  • Q1. Questions on java , spring boot , containarisation tools, coding, SOLID principles
Round 2 - Assignment 

5 coading questions were asked in it

Round 3 - HR 

(1 Question)

  • Q1. Manegerial round
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

In Mu Sigma APT round is divided into 3 sections Quant, Logical and verbal

I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Basic concept of JS

Interview Preparation Tips

Interview preparation tips for other job seekers - Good
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all Resume tips
Round 2 - Coding Test 

Spark, python related questions

Round 3 - Technical 

(1 Question)

  • Q1. Previous project, scenario based problem to solve
Round 4 - HR 

(1 Question)

  • Q1. Package, preffered location

Interview Preparation Tips

Interview preparation tips for other job seekers - Fundamentals of Spark and sql, previous project architecture and related questions.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 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 Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Python, Django questions Easy to Medium level DSA Discussion on Project and previous work experience Some SQL queries
Round 3 - Technical 

(1 Question)

  • Q1. Some Python questions and discussion on work experience Some design question like how you will design backend for some project from scratch Some managerial questions Questions on git
Round 4 - HR 

(1 Question)

  • Q1. Some basic HR questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Selected Selected
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 Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Basic mern stack question along with some coding question.
Round 3 - Technical 

(1 Question)

  • Q1. Same as round one. This one is in bit details.
Round 4 - HR 

(1 Question)

  • Q1. Basic hr round. Lot of different aspect they gave.
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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

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Interview experience

5
  
Excellent
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