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Hinduja Tech Data Scientist Interview Questions and Answers
Hinduja Tech Data Scientist Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. What is structured and unstructured data? what is supervised and unsupervised learning?
- Ans.
Structured data is organized and easily searchable, while unstructured data lacks a predefined format. Supervised learning uses labeled data for training, while unsupervised learning finds patterns in unlabeled data.
Structured data is organized in a predefined format, such as databases or spreadsheets.
Unstructured data lacks a specific format and includes text, images, videos, etc.
Supervised learning uses labeled data ...
- Q2. What is CNN? what is the difference between RCNN and RNN?
- Ans.
CNN stands for Convolutional Neural Network. RCNN is Region-based Convolutional Neural Network and RNN is Recurrent Neural Network.
CNN is a type of neural network commonly used for image recognition and classification.
RCNN is an improvement over CNN that focuses on regions of interest within an image.
RNN is a type of neural network designed for sequence data, such as text or speech.
The main difference between RCNN and ...
(2 Questions)
- Q1. What is your salary expectation?
- Ans.
I am looking for a competitive salary that reflects my skills and experience in the data science field.
Research industry standards for data scientist salaries
Consider my level of experience and expertise in the field
Be prepared to negotiate based on the overall compensation package offered
- Q2. Do you know predictive analysis?
- Ans.
Yes, predictive analysis involves using statistical algorithms to predict future outcomes based on historical data.
Predictive analysis uses historical data to make predictions about future outcomes.
It involves the use of statistical algorithms and machine learning techniques.
Examples include predicting customer churn, forecasting sales, and detecting fraud.
It helps businesses make informed decisions and optimize proces
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
Nayan Kumar
Selected
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
(1 Question)
- Q1. Project driven. Some coding
(1 Question)
- Q1. Salary Discussion
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
(2 Questions)
- Q1. Explain a project end to end
- Ans.
Developed a predictive model to identify potential customers for a bank
Gathered and cleaned data on customer demographics, financial history, and behavior
Performed exploratory data analysis to identify patterns and correlations
Developed and trained a machine learning model using logistic regression
Evaluated model performance using metrics such as accuracy, precision, and recall
Deployed the model in a web application fo
- Q2. Tell me about yourself
- Ans.
I am a data scientist with expertise in machine learning and data analysis.
I have a strong background in statistics and mathematics.
I am skilled in programming languages such as Python and R.
I have experience working with large datasets and implementing predictive models.
I have successfully completed projects in various industries, including finance and healthcare.
I am passionate about using data to drive insights and
Interview Preparation Tips
Selected
I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
(3 Questions)
- Q1. What are the projects you have worked on?
- Q2. What is Digital Image Processing?
- Ans.
Digital Image Processing is the manipulation of digital images using algorithms to enhance, analyze, or extract information.
It involves techniques like image enhancement, restoration, segmentation, and compression.
Common applications include medical imaging, satellite imaging, facial recognition, and object detection.
Algorithms like edge detection, noise reduction, and image stitching are used in digital image processi...
- Q3. Explain OOP in Python
- Ans.
OOP in Python is a programming paradigm where objects are created that contain data and methods to manipulate that data.
Classes are used to create objects in Python
Objects have attributes (data) and methods (functions)
Inheritance allows classes to inherit attributes and methods from other classes
Encapsulation allows data to be hidden and only accessed through methods
Polymorphism allows objects to be treated as instance
Interview Preparation Tips
- Python
- ML Algorithms
- NLP
- Computer Vision
- Generative AI
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
(2 Questions)
- Q1. Explain a project end to end
- Ans.
Developed a predictive model to identify potential customers for a bank
Gathered and cleaned data on customer demographics, financial history, and behavior
Performed exploratory data analysis to identify patterns and correlations
Developed and trained a machine learning model using logistic regression
Evaluated model performance using metrics such as accuracy, precision, and recall
Deployed the model in a web application fo
- Q2. Tell me about yourself
- Ans.
I am a data scientist with expertise in machine learning and data analysis.
I have a strong background in statistics and mathematics.
I am skilled in programming languages such as Python and R.
I have experience working with large datasets and implementing predictive models.
I have successfully completed projects in various industries, including finance and healthcare.
I am passionate about using data to drive insights and
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.
(3 Questions)
- Q1. Machine Learning algorithms
- Ans.
Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.
Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.
Examples of unsupervised learning algorithms include k-means clustering, ...
- Q2. Overfitting and underfitting
- Q3. Questions related to the project
(2 Questions)
- Q1. Questions on project, how much time required for training model
- Q2. Version control, Flask/ Django, Cloud service experience
Skills evaluated in this interview
(1 Question)
- Q1. Question regarding nlp,python,ml
Interview Preparation Tips
I applied via Company Website and was interviewed in Oct 2024. There were 3 interview rounds.
30 minutes. 3 aptitude questions . Very easy .
DSA Questions. Palindrome , Arrays and Strings were the most asked questions in my batch.
(2 Questions)
- Q1. What are directors?
- Ans.
Directors are individuals responsible for overseeing the activities and operations of a company or organization.
Directors are typically appointed by shareholders or members of the organization.
They are responsible for making strategic decisions and setting goals for the organization.
Directors have a fiduciary duty to act in the best interests of the company and its stakeholders.
Examples of directors include the CEO, CF
- Q2. OOP COncepts such as polymorphism, inheritance, etc.
Selected
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
(1 Question)
- Q1. Project driven. Some coding
(1 Question)
- Q1. Salary Discussion
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Hinduja Tech Data Scientist Interview Process
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