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Deloitte
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I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.
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Assignment on data analysis
Implement a sorting algorithm to sort a list without using built-in functions.
Use a common sorting algorithm like bubble sort, selection sort, or insertion sort.
Iterate through the list and compare adjacent elements to swap them if necessary.
Repeat the process until the list is sorted in ascending order.
Web scraping is the process of extracting data from websites using code.
Identify the website and the specific data to be extracted
Use libraries like BeautifulSoup or Scrapy in Python to parse HTML
Inspect the website's HTML structure to locate the data
Write code to extract the data and store it in a desired format
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression aims to find the best-fitting straight line that describes the relationship between variables.
It is commonly used for predicting numerical values based on input features.
The equation for a simple linear regression model is y = mx + b, where y is the dependent vari...
Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.
SVM finds the hyperplane that best separates different classes in the feature space
It works by maximizing the margin between the closest data points from different classes
SVM can handle non-linear data by using kernel functions to map data into higher-dimensional space
Examples: classifying emails as spam...
Object detection identifies objects in an image, while segmentation assigns a label to each pixel in the image.
Object detection involves identifying and locating objects within an image, often using bounding boxes.
Segmentation assigns a class label to each pixel in the image, creating a pixel-wise mask for each object.
Object detection is typically used when the goal is to identify and locate multiple objects in an imag...
Camera sensors use various technologies such as CMOS and CCD to capture images.
CMOS (Complementary Metal-Oxide-Semiconductor) sensors are commonly used in modern digital cameras for their low power consumption and high image quality.
CCD (Charge-Coupled Device) sensors are another type of sensor used in some cameras, known for their high-quality images but higher power consumption.
Other technologies used in camera senso...
SQL joins are used to combine rows from two or more tables based on a related column between them.
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one match in both tables.
LEFT JOIN returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN returns all rows from the right table and the matched rows from the left table.
F...
Delete removes a record entirely, while update modifies an existing record.
Delete removes the entire record from the database
Update modifies specific fields of an existing record
Delete is irreversible, while update can be undone by another update
Example: Deleting a user account vs updating the user's email address
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
Python decorators are functions that modify the behavior of other functions or methods.
Decorators are denoted by the @ symbol followed by the decorator function name.
They are commonly used for adding functionality to existing functions without modifying their code.
Decorators can be used for logging, timing, authentication, caching, etc.
Example: @staticmethod decorator in Python is used to define a method that is not bo
LLAMA models are used for large language model adaptation.
LLAMA models are used for adapting large language models to specific tasks or domains.
They are commonly used in natural language processing tasks such as text generation, translation, and sentiment analysis.
Examples of LLAMA models include GPT-3, BERT, and RoBERTa.
I applied via Recruitment Consultant and was interviewed before Jan 2021. There was 1 interview round.
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