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I applied via Job Portal and was interviewed in Apr 2024. There were 2 interview rounds.
I have 3 years of experience in Python and 2 years in R.
3 years of experience in Python, used for data cleaning, analysis, and visualization.
2 years of experience in R, utilized for statistical analysis and data modeling.
Proficient in using libraries like pandas, numpy, matplotlib in Python and ggplot2, dplyr in R.
I have worked on a project in R programming analyzing customer churn for a telecommunications company.
Used R programming to clean and analyze customer data
Created visualizations to identify patterns and trends in customer behavior
Built predictive models to forecast customer churn rates
Collaborated with stakeholders to present findings and recommendations
I have worked on databases such as MySQL, SQL Server, and MongoDB.
MySQL
SQL Server
MongoDB
Find a string matching a specific pattern in a list of strings.
Use regular expressions to search for the pattern in each string.
Iterate through the list of strings and apply the pattern matching logic.
Return the string that matches the pattern, if found.
Example: List of strings - ['apple', 'banana', 'cherry'], pattern - 'ba' would return 'banana'.
Find the dictionary with the highest count of keys in a list of dictionaries.
Iterate through the list of dictionaries and keep track of the dictionary with the highest count of keys.
Use a loop to count the keys in each dictionary and compare it with the current highest count.
Return the dictionary with the highest count of keys.
Yes, I have experience in converting Python scripts to R.
I have converted several Python scripts to R for data analysis projects.
I am proficient in both Python and R programming languages.
I can provide examples of projects where I have successfully converted Python scripts to R.
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and make decisions.
Data analysis involves collecting and organizing data sets.
It includes cleaning and processing data to ensure accuracy.
Statistical analysis and data visualization are key components of data analysis.
Data analysis helps in identifying trends, patterns, and insights fr...
I conduct data analysis by collecting, cleaning, analyzing, and interpreting data to derive insights and make data-driven decisions.
Collect relevant data from various sources
Clean and preprocess data to ensure accuracy and consistency
Use statistical methods and tools to analyze data
Visualize data using charts, graphs, and dashboards
Interpret results and communicate findings to stakeholders
I applied via Referral and was interviewed in May 2024. There was 1 interview round.
eClerx interview questions for designations
Good maths English communication
Get interview-ready with Top eClerx Interview Questions
Excel is used for data analysis due to its user-friendly interface, powerful data manipulation capabilities, and ability to create visualizations.
Excel allows for easy data entry and manipulation, making it accessible for users of all skill levels.
It has powerful functions and formulas for data analysis, such as VLOOKUP, SUMIF, and PivotTables.
Excel can create visualizations like charts and graphs to help analyze and p...
I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.
A pivot table in Excel is a powerful tool for summarizing and analyzing data.
Pivot tables allow you to reorganize and summarize selected columns and rows of data in a spreadsheet.
You can easily group data, calculate totals, averages, and other statistics, and create custom calculations.
Pivot tables are dynamic and can be easily updated as the source data changes.
They are useful for analyzing large datasets and identify...
I applied via Walk-in and was interviewed before Jun 2023. There was 1 interview round.
DML stands for Data Manipulation Language in SQL, used for managing data in a database.
DML is used for inserting, updating, deleting, and retrieving data from a database.
Common DML commands include INSERT, UPDATE, DELETE, and SELECT.
Example: INSERT INTO table_name (column1, column2) VALUES (value1, value2);
To perform an exists query in SQL, use the EXISTS keyword followed by a subquery that returns at least one row.
Use the EXISTS keyword in the WHERE clause of the main query
Follow the EXISTS keyword with a subquery that returns at least one row
The EXISTS query will return true if the subquery returns any rows, otherwise false
Lookup in Excel is a function that searches for a value in a range and returns a corresponding value in the same position from another range.
Lookup function helps in finding specific information in a table or range of data.
Common lookup functions in Excel include VLOOKUP, HLOOKUP, INDEX-MATCH, and XLOOKUP.
Example: =VLOOKUP(A2, B:C, 2, FALSE) - this formula searches for the value in cell A2 in the first column of range ...
DCL stands for Data Control Language in SQL, used to control access to data stored in a database.
DCL commands include GRANT and REVOKE, which are used to give or revoke permissions on database objects.
GRANT command is used to give specific privileges to a user or role.
REVOKE command is used to take back privileges that were granted with the GRANT command.
I applied via Naukri.com and was interviewed before Mar 2023. There were 2 interview rounds.
Basic aptitude question from Quants, Reasoning only, no English comprehension was asked to me.
I applied via Naukri.com and was interviewed before Oct 2021. There was 1 interview round.
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