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NICE Data Scientist Interview Questions and Answers
NICE Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain Feature selection Techniques
- Ans.
Feature selection techniques are methods used to select the most relevant features for a predictive model.
Filter methods: Select features based on statistical measures like correlation, chi-squared, or mutual information.
Wrapper methods: Use a specific model to evaluate the importance of features by training and testing subsets of features.
Embedded methods: Features are selected as part of the model training process, l...
- Q2. Difference between Covariance and Correlation
- Ans.
Covariance measures the relationship between two variables, while correlation measures the strength and direction of a relationship.
Covariance can be positive, negative, or zero, indicating the direction of the relationship.
Correlation is always between -1 and 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship.
Covariance is affected by t...
Skills evaluated in this interview
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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
Data Scientist Interview Questions & Answers
Hexaware Technologies
Nikhil Pawar
posted on 19 Oct 2023
Selected
I applied via Recruitment Consulltant and was interviewed before Oct 2022. There were 3 interview rounds.
(1 Question)
- Q1. Questions around resume
- Ans. Explained word done by me and my responsibilities
(1 Question)
- Q1. Questions around python programming and my experience in data science
- Ans. Explained end to end implementation of some of the projects I worked on
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed in Aug 2023. There were 3 interview rounds.
(1 Question)
- Q1. All about my previous projects and questions based on that. Also, they checked the knowledge of Generative AI & LLM.
(1 Question)
- Q1. All about my previous projects and questions based on that. It was a techno-managerial round which was also focused on situation based scenarios. Taken by Head of AI/ML - CoE.
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 Naukri.com and was interviewed before Jul 2023. There was 1 interview round.
(3 Questions)
- Q1. Difference between .py and .pyc
- Ans.
The .py files contain Python code, while the .pyc files are compiled bytecode files generated by Python when a .py file is imported.
The .py files are human-readable text files containing Python code.
The .pyc files are compiled bytecode files created by Python to improve execution speed.
The .pyc files are automatically generated by Python when a .py file is imported.
The .pyc files are platform-independent and can be dis
- Q2. Why we use bias in neural networks? Why do we scale our data in neural networks?
- Ans.
Bias in neural networks helps in capturing the underlying patterns in data. Scaling data helps in improving convergence and performance.
Bias in neural networks helps in shifting the activation function to better fit the data.
It allows the model to capture the underlying patterns in the data by providing flexibility in the decision boundary.
Scaling data helps in improving convergence by ensuring that the gradients are o...
- Q3. Explain RNN and LSTM
- Ans.
RNN is a type of neural network that processes sequential data. LSTM is a type of RNN that can learn long-term dependencies.
RNN stands for Recurrent Neural Network and is designed to handle sequential data by maintaining a hidden state that captures information about previous inputs.
LSTM stands for Long Short-Term Memory and is a type of RNN that addresses the vanishing gradient problem by introducing a memory cell, in...
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.
I applied via Naukri.com and was interviewed in Nov 2023. There were 2 interview rounds.
SQL, select statment and DDL commands
(1 Question)
- Q1. Python lists and conditional statements and loos
Selected
I appeared for an interview before Feb 2024.
Case study was given to test coding and ML skills
(2 Questions)
- Q1. Based on Case Study
- Q2. Based on Case Study
(2 Questions)
- Q1. Overall interview feedback
- Q2. Salary expectations
(1 Question)
- Q1. Python coding questions followed by machine learning , deep learning algorithms
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NICE Data Scientist Interview Process
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NICE Data Scientist Reviews and Ratings
based on 3 reviews
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