Filter interviews by
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.
Data lakes store raw data in its native format without the need to structure it beforehand
Data lakes can store a variety of data types such as logs, images, videos, and more
Data lakes enable data scientists to perform advanced analytics and machine learning on large datasets
A data warehouse is a centralized repository that stores structured and unstructured data from various sources for analysis and reporting.
Data warehouse is used for decision-making and business intelligence purposes
It consolidates data from different sources into a single database
Data is organized in a way that is optimized for querying and analysis
Examples include Amazon Redshift, Google BigQuery, and Snowflake
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
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
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.
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 Approached by Company and was interviewed in Jan 2024. There was 1 interview round.
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...
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
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...
posted on 19 Oct 2023
I applied via Recruitment Consulltant and was interviewed before Oct 2022. There were 3 interview rounds.
based on 1 interview
Interview experience
based on 1 review
Rating in categories
Senior Associate
984
salaries
| ₹0 L/yr - ₹0 L/yr |
Associate
571
salaries
| ₹0 L/yr - ₹0 L/yr |
Process Analyst
188
salaries
| ₹0 L/yr - ₹0 L/yr |
Process Associate
183
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Process Associate
145
salaries
| ₹0 L/yr - ₹0 L/yr |
TCS
Infosys
Wipro
HCLTech