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I applied via Referral and was interviewed in Nov 2023. There was 1 interview round.
Excel Text, and work experience
VLOOKUP is a formula in Excel used to search for a value in a table and retrieve corresponding data from another column.
VLOOKUP is used to find an exact or approximate match in a table.
Its arguments include the lookup value, table range, column index, and match type.
Concatenate formula is used to combine text from multiple cells into one cell.
It is helpful for creating unique identifiers or joining data from different ...
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I applied via Walk-in and was interviewed in Jun 2022. There was 1 interview round.
I applied via WorkIndia and was interviewed in Oct 2023. There was 1 interview round.
Present Working & Personal Information
I applied via Referral and was interviewed before Oct 2022. There were 3 interview rounds.
How to collect money from Debt customer
I applied via Naukri.com and was interviewed in Nov 2021. There were 5 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Nov 2023. There were 2 interview rounds.
Multiple Choice Questions
Effective communication is crucial in any role, including MIS, as it enhances collaboration and understanding.
Clear communication ensures that team members understand project goals, reducing misunderstandings.
For example, in a project meeting, articulating ideas clearly can lead to better feedback and collaboration.
A positive attitude can enhance teamwork, but without communication, even the best attitude may not lead ...
I applied via Referral and was interviewed in Feb 2024. There were 3 interview rounds.
Apptitude test conducted where there are 60 question in 60 min
Python, Verbal , Apptitude
Last one is interview round
Data frame making in Python involves creating a structured table-like data structure using the pandas library.
Use the pandas library to create a data frame
Data frames are 2-dimensional labeled data structures with columns of potentially different types
Data frames can be created from dictionaries, lists, numpy arrays, or other data frames
Example: df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
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