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Impact Analytics Deep Learning Engineer Interview Questions, Process, and Tips
Impact Analytics Deep Learning Engineer Interview Experiences
1 interview found
Selected
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
(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...
- 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...
- Q3. Questions around python programming
(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...
- 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.
Interview Preparation Tips
- Machine Learning
- Deep Learning
- Transformers
- BERT
- NLP
- Python
- Statistics
- Pandas
- Excel
Skills evaluated in this interview
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Interview questions from similar companies
(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
Selected
I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.
Online coding test with Sql and python questions
(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
- 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
- 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")
Interview Preparation Tips
Skills evaluated in this interview
Senior Software Engineer Interview Questions & Answers
Tiger Analytics
Anonymous
posted on 11 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.
(1 Question)
- Q1. Questions on java , spring boot , containarisation tools, coding, SOLID principles
5 coading questions were asked in it
(1 Question)
- Q1. Manegerial round
Aman Kumar
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
Senior Software Engineer Interview Questions & Answers
Tiger Analytics
Anonymous
posted on 11 Nov 2022
Spark, python related questions
(1 Question)
- Q1. Previous project, scenario based problem to solve
(1 Question)
- Q1. Package, preffered location
Interview Preparation Tips
Senior Software Engineer Interview Questions & Answers
Fractal Analytics
Anonymous
posted on 23 Jul 2023
Selected
I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 interview rounds.
(1 Question)
- Q1. Python, Django questions Easy to Medium level DSA Discussion on Project and previous work experience Some SQL queries
(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
(1 Question)
- Q1. Some basic HR questions
Interview Preparation Tips
Selected
(1 Question)
- Q1. Basic mern stack question along with some coding question.
(1 Question)
- Q1. Same as round one. This one is in bit details.
(1 Question)
- Q1. Basic hr round. Lot of different aspect they gave.
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Impact Analytics Deep Learning Engineer Interview Process
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