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Hinduja Tech
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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
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I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Explain about your projects
Interview Preparation Tips
Abhishek Srivastav
Interview Questionnaire
3 Questions
- Q1. Code For parse Traingle
- Ans.
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
- Q2. Asci value along with alphabets(both capital and small)
- Ans.
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
- Q3. Would you like to go for Hire studies
Interview Preparation Tips
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60
Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.
Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .
Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.
General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. What is data science
- Ans.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
- Q2. What is phyton and R
- Ans.
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
Interview Preparation Tips
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
L&T Technology Services
Sourabh BM
posted on 28 Feb 2024
Selected
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
(2 Questions)
- Q1. When do we use PCA?
- Ans.
PCA is used to reduce the dimensionality of data by finding the most important features.
PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.
It helps in visualizing data in lower dimensions while retaining as much variance as possible.
PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.
- Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
(1 Question)
- Q1. LTTS data science interview
Skills evaluated in this interview
Ankita Oli
I applied via Approached by Company and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. Explain the importance of Model Evaluation in the process of ML pipeline
- Ans.
Model evaluation is crucial in ML pipeline to assess the performance and generalization of the model.
Helps in selecting the best model for the given problem by comparing different models based on metrics like accuracy, precision, recall, etc.
Prevents overfitting by checking if the model is performing well on unseen data.
Guides in fine-tuning hyperparameters to improve model performance.
Enables understanding of model li...
Skills evaluated in this interview
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
(1 Question)
- Q1. What is linear regression? How to process data? Explain KLM algorithm.
- Ans.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
Interview Preparation Tips
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
(2 Questions)
- Q1. Number of Duplicate words in a string
- Ans.
Count the number of duplicate words in a string.
Split the string into words using a delimiter like space or punctuation.
Create a dictionary to store the count of each word.
Iterate through the words and increment the count in the dictionary.
Count the number of words with count greater than 1 as duplicates.
- Q2. Chunking in LLM
- Ans.
Chunking in LLM refers to breaking down text into smaller chunks for better processing by the language model.
Chunking helps improve the efficiency of the language model by breaking down large text inputs into smaller segments.
It can help the model better understand the context and relationships within the text.
Chunking is commonly used in natural language processing tasks such as text summarization and sentiment analys
Skills evaluated in this interview
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Hinduja Tech Interviews By Designations
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Hinduja Tech Data Scientist Interview Process
based on 1 interview
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