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Its on python mostly to do with string manipulation, acces data from list, dataframe
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There was 1 interview round.
I applied via Company Website and was interviewed before Jul 2023. There were 2 interview rounds.
Questions asked on Alteryx functions
Multi formula tool in Alteryx allows users to apply multiple formulas to different fields in a single step.
The Multi formula tool in Alteryx is used to apply multiple formulas to different fields in a single step.
Users can add multiple formula expressions and assign them to specific fields in the data set.
This tool is helpful for performing complex calculations on multiple fields simultaneously.
Example: Using the Multi...
Alteryx applications can be built using the Alteryx Designer tool by creating workflows and configuring user inputs.
Use Alteryx Designer tool to create workflows for data processing
Configure user inputs such as text boxes, drop-down menus, and buttons
Utilize Alteryx Gallery to publish and share the application with others
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The test was psychometric and aptitude. Interview was easy.
Assessment for coding round
posted on 28 May 2024
I applied via Naukri.com and was interviewed in Apr 2024. There were 3 interview rounds.
Tools for data entry tasks include software like Microsoft Excel, Google Sheets, and data entry software programs.
Use spreadsheet software like Microsoft Excel or Google Sheets for organizing and entering data.
Utilize data entry software programs specifically designed for efficient data input.
Consider using automation tools like macros or scripts to speed up repetitive data entry tasks.
Ensure data accuracy by double-ch...
Problems can arise due to inaccurate data, system errors, distractions, and lack of proper training.
Inaccurate data entry can lead to errors in the database.
System errors such as crashes or slow performance can hinder progress.
Distractions in the work environment can cause mistakes in data entry.
Lack of proper training on data entry software can slow down the process.
posted on 6 May 2024
PYTHON,SQL,STATS,ML,DL
Outliers can be overcome by identifying and removing them or by transforming the data.
Identify outliers using statistical methods like z-scores or box plots.
Remove outliers by either deleting the data points or replacing them with a more appropriate value.
Transform the data using techniques like winsorization or log transformation to reduce the impact of outliers.
Consider the context and domain knowledge to determine t...
posted on 19 Feb 2022
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