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I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
Creating a dataframe and performing data manipulations in Python using pandas library.
Import pandas library
Create a dictionary with data
Convert dictionary to dataframe using pd.DataFrame()
Perform operations like filtering, sorting, grouping, etc.
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Rank assigns unique ranks to each distinct value, while dense rank does not leave gaps between ranks.
Rank assigns consecutive integers to each distinct value based on their order.
Dense rank also assigns consecutive integers, but does not leave gaps between ranks.
For example, if we have values 10, 20, 20, 30, then rank would be 1, 2, 2, 4 and dense rank would be 1, 2, 2, 3.
RLS in Power Bi stands for Row-Level Security, which allows users to restrict access to data based on their role or profile.
RLS in Power Bi is used to control access to data at the row level
It allows users to define rules to restrict data based on their role or profile
RLS can be implemented using DAX expressions to filter data dynamically
For example, a sales manager can only see data related to their region using RLS
Identifying time for a project involves creating a timeline, setting deadlines, and monitoring progress.
Create a project timeline outlining key milestones and tasks
Set deadlines for each task to ensure timely completion
Monitor progress regularly to identify any delays and adjust timelines accordingly
posted on 15 Feb 2024
I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.
Functions in SQL are used to perform specific tasks on the data stored in a database.
SQL functions can be used to manipulate data, perform calculations, and retrieve specific information from a database.
Common SQL functions include aggregate functions (e.g., SUM, AVG), string functions (e.g., CONCAT, SUBSTRING), and date functions (e.g., DATEPART, GETDATE).
Functions can be used in SELECT statements, WHERE clauses, and ...
Transformations in Informatica are used to manipulate and modify data during the ETL process.
Transformations are used to filter, aggregate, join, and sort data.
Examples of transformations include Filter, Aggregator, Joiner, and Sorter.
Transformations can be used to perform calculations, data cleansing, and data validation.
They can also be used to create new columns, merge data from multiple sources, and split data into
posted on 24 May 2021
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
Shuffle and merge are key processes in Hadoop for distributing data across nodes and combining results.
Shuffle is the process of transferring data from mappers to reducers in Hadoop.
Merge is the process of combining the output from multiple reducers into a single result.
Shuffle and merge are essential for parallel processing and efficient data analysis in Hadoop.
Example: In a word count job, shuffle will group words by...
I applied via Campus Placement and was interviewed before Dec 2021. There were 2 interview rounds.
It's was divided into 4 stage:
1. Pseudocode which contains small computer coding
2. English verbal which contains questions on grammar
3. Aptitude test (game based)
4. 2 codes
Oops Concepts are fundamental principles of Object-Oriented Programming.
Encapsulation - binding data and functions together
Inheritance - acquiring properties and behavior of parent class
Polymorphism - ability of objects to take multiple forms
Abstraction - hiding implementation details and showing only necessary information
posted on 24 Sep 2022
I applied via Campus Placement
Pseudocode test: basic programming skills was tested in this round
posted on 7 Jul 2024
Experienced data analyst with a background in statistics and programming.
I have a Bachelor's degree in Statistics and a Master's degree in Data Science.
I am proficient in programming languages such as Python, R, and SQL.
I have experience working with large datasets and conducting statistical analysis.
I have strong problem-solving skills and attention to detail.
I have worked on projects involving data visualization and
based on 1 interview
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