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I applied via Company Website and was interviewed in Jan 2024. There was 1 interview round.
Extract India players from a dictionary using list comprehension
Use list comprehension to filter out players with nationality as 'India'
Create a new list with only the India players
Example: [player for player, nationality in CSK.items() if nationality == 'India']
Use sets to find common elements in three lists.
Convert the lists to sets for efficient comparison.
Use the intersection method to find common elements.
Return the common elements as a set or list.
Printing specific rows from a database using Pandas in Python
Use Pandas library to read the database into a DataFrame
Use iloc method to select specific rows by index
Print the selected rows
Use scikit-learn library to split dataset into train, test, and validation sets
Import train_test_split from sklearn.model_selection
Specify test_size and validation_size when splitting the dataset
Example: X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
Use DISTINCT keyword to print unique values and DELETE with a subquery to remove duplicate rows.
Use SELECT DISTINCT column_name FROM table_name to print unique values.
Use DELETE FROM table_name WHERE row_id NOT IN (SELECT MAX(row_id) FROM table_name GROUP BY column_name) to delete duplicate rows.
Use SQL SELECT statement with WHERE clause to filter rows based on a specific criterion.
Use SELECT statement with WHERE clause to specify the criterion (ex: salary > 100000)
Example: SELECT * FROM employees WHERE salary > 100000;
Ensure proper syntax and column names are used in the query
Use subquery to find rows with second highest criterion value in SQL without using offset function.
Use a subquery to find the maximum criterion value
Then use another subquery to find the maximum value that is less than the maximum value found in the first subquery
Finally, select rows with the second highest criterion value
Print rows with the same set of values in a column
Identify unique sets of values in the column
Group rows based on these unique sets of values
Print out the rows for each unique set of values
Power BI is a Microsoft product focused on business intelligence and data visualization, while Tableau is a standalone data visualization tool.
Power BI is more user-friendly and integrates well with other Microsoft products.
Tableau is known for its powerful data visualization capabilities and flexibility in creating complex visualizations.
Power BI is often preferred by organizations already using Microsoft products, wh...
Power BI and Tableau have limitations in terms of data connectivity, customization, and pricing.
Limited data connectivity options compared to other tools
Limited customization capabilities for advanced analytics
High pricing for enterprise-level features
Tableau has better visualization capabilities but can be more complex to use
Power BI is more user-friendly but may lack certain advanced features
Types of regression models include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.
Linear regression: used to model the relationship between a dependent variable and one or more independent variables.
Logistic regression: used for binary classification problems, where the output is a probability value between 0 and 1.
Polynomial regression: fits a curve to the data by...
Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.
Linear regression predicts continuous outcomes, while logistic regression predicts binary outcomes.
Linear regression uses a linear equation to model the relationship between the independent and dependent variables.
Logistic regression uses the logistic function to model the probability of a binary outcome.
Linear reg...
Random Forest is an ensemble method using multiple decision trees, while Decision Tree is a single tree-based model.
Random Forest is a collection of decision trees that are trained on random subsets of the data.
Decision Tree is a single tree structure that makes decisions by splitting the data based on features.
Random Forest reduces overfitting by averaging the predictions of multiple trees.
Decision Tree can be prone t...
ETL stands for Extract, Transform, Load. It is a process of extracting data from various sources, transforming it into a usable format, and loading it into a target database.
ETL tools include Informatica PowerCenter, Talend, Apache Nifi, Microsoft SQL Server Integration Services (SSIS), and IBM InfoSphere DataStage.
Extract: Data is extracted from various sources such as databases, files, APIs, etc.
Transform: Data is cl...
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posted on 3 Aug 2017
I was interviewed before Aug 2016.
I was interviewed in Nov 2016.
Developed a Btech project on automated attendance system using facial recognition.
Developed a software application to automate the attendance process in educational institutions.
Implemented facial recognition technology to identify and mark attendance of students.
Used machine learning algorithms to train the system for accurate recognition.
Integrated the application with a database to store attendance records.
Provided ...
Code Pascal's Triangle
Pascal's Triangle is a triangular array of binomial coefficients
Each number is the sum of the two numbers above it
The first and last numbers in each row are 1
Can be implemented using nested loops or recursion
An abstract function is a function that has no implementation and must be implemented by its subclasses.
An abstract function is declared with the 'abstract' keyword.
It is used to define a template for its subclasses to follow.
It cannot be instantiated and must be implemented by its subclasses.
It can have abstract and non-abstract methods.
Example: abstract class Animal { abstract void makeSound(); }
Example: class Dog ex...
Abstract functions cannot be instantiated and must be implemented by child classes, while normal functions can be directly called.
Abstract functions have no implementation in the parent class, while normal functions do.
Abstract functions are declared with the 'abstract' keyword, while normal functions are not.
Normal functions can be called directly, while abstract functions must be implemented by child classes.
An examp...
Perfectionism and public speaking anxiety
I tend to be a perfectionist, which can sometimes lead to spending too much time on a task
I struggle with public speaking anxiety, but I have been working on improving my communication skills through practice and training
Capgemini is a global leader in consulting, technology services, and digital transformation.
Capgemini has a strong reputation in the industry for delivering high-quality software solutions.
The company offers a wide range of opportunities for career growth and development.
Capgemini has a collaborative and inclusive work culture that fosters innovation and teamwork.
The company has a global presence, providing exposure to...
posted on 28 Mar 2018
I applied via Other and was interviewed in Nov 2017. There were 5 interview rounds.
As a Senior Software Engineer, I worked with various tools and technologies to develop and maintain software applications.
Developed and maintained software applications using Java, Python, and C++ programming languages
Used Agile methodology for software development and collaborated with cross-functional teams
Worked with various tools such as Git, JIRA, Jenkins, and Docker for version control, issue tracking, continuous...
I was interviewed in Aug 2017.
I applied via Recruitment Consultant and was interviewed before Mar 2017. There were 5 interview rounds.
I was interviewed in Sep 2016.
I applied via Monster and was interviewed before Mar 2020. There were 3 interview rounds.
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