Filter interviews by
I applied via Naukri.com and was interviewed in Jun 2023. There were 3 interview rounds.
Using loop print the star for a triangle.
What is pandas.
Different between tuple and list.
5G is the fifth generation of wireless technology, offering faster speeds, lower latency, and increased capacity for mobile networks.
5G stands for fifth generation and is the latest standard for wireless communication
It offers faster download and upload speeds, lower latency, and increased capacity compared to previous generations like 4G
5G technology uses higher frequency bands to transmit data, allowing for more devi...
A tensor is a mathematical object representing multi-dimensional arrays of data.
Tensors are commonly used in machine learning and deep learning for representing data.
They can have any number of dimensions, such as scalars (0D), vectors (1D), matrices (2D), or higher dimensional arrays.
In TensorFlow, a popular deep learning framework, tensors are the main data structure used for computations.
Operations on tensors includ...
Measure of central tendency refers to the average or middle value in a dataset.
Central tendency is used to summarize the data and give a single value that represents the entire dataset.
Common measures of central tendency include mean, median, and mode.
Mean is the average of all values, median is the middle value when the data is sorted, and mode is the most frequently occurring value.
For example, in a dataset of 5, 7, ...
Top trending discussions
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
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...
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...
I applied via Naukri.com and was interviewed before Jan 2024. There was 1 interview round.
I am a data scientist with a background in statistics and machine learning.
Background in statistics and machine learning
Experience with data analysis and visualization tools like Python, R, and Tableau
Strong problem-solving skills
Ability to communicate complex technical concepts to non-technical stakeholders
Developed a predictive model for customer churn in a telecom company using machine learning algorithms.
Used Python for data preprocessing and model building
Implemented algorithms like Random Forest and Logistic Regression
Evaluated model performance using metrics like accuracy and AUC-ROC curve
I applied via Referral and was interviewed before Jun 2023. There were 4 interview rounds.
Data Science MCQ questions
Building a baseline ML model with EDA etc.
Outliers can be analyzed using statistical methods like Z-score, IQR, or visualization techniques like box plots.
Calculate Z-score and identify data points with Z-score greater than a certain threshold as outliers.
Use Interquartile Range (IQR) to detect outliers by identifying data points outside 1.5 * IQR range.
Visualize data using box plots to identify any data points that fall outside the whiskers.
Consider domain kn...
posted on 29 Nov 2024
I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Math, English, reasoning
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.
LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.
LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.
L...
Evaluation matrices are used to assess the performance of models in data science.
Confusion matrix: used to evaluate the performance of classification models.
Precision, recall, and F1 score: measures for binary classification models.
Mean squared error (MSE): evaluates the performance of regression models.
R-squared: assesses the goodness of fit for regression models.
Area under the ROC curve (AUC-ROC): evaluates the perfo...
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.
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
I applied via Naukri.com and was interviewed in Jun 2022. There were 2 interview rounds.
Machine learning and artificial intillegence
I applied via Naukri.com and was interviewed in May 2022. There were 2 interview rounds.
based on 1 interview
Interview experience
Accountant
24
salaries
| ₹0 L/yr - ₹0 L/yr |
Executive Accountant
22
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Entry Operator
18
salaries
| ₹0 L/yr - ₹0 L/yr |
Software Engineer
17
salaries
| ₹0 L/yr - ₹0 L/yr |
Team Lead
12
salaries
| ₹0 L/yr - ₹0 L/yr |
Reliance Industries
Tata Group
Aditya Birla Group
Mahindra & Mahindra