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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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I applied via Referral and was interviewed before Dec 2022. There were 3 interview rounds.
posted on 24 May 2021
I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.
Basics of mathematical ability and verbal ability
I have worked on various data analysis projects involving market research, customer segmentation, and predictive modeling.
Market research project involved analyzing customer demographics and preferences to identify target markets.
Customer segmentation project focused on dividing customers into distinct groups based on behavior and characteristics.
Predictive modeling project used historical data to forecast future trend...
Data analytics is the process of analyzing raw data to draw conclusions and make informed decisions.
Data analytics involves collecting, cleaning, and transforming data into insights.
It uses statistical analysis, machine learning, and data visualization techniques.
Examples include analyzing sales data to identify trends, predicting customer behavior, and optimizing marketing campaigns.
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 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
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 Nov 2022. There were 4 interview rounds.
They conduct written test
based on 1 interview
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