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Shriram Finance
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Recruitment Consulltant and was interviewed in May 2022. There were 2 interview rounds.
I have 2 years of experience in accounting field.
I have worked as an intern in a reputed accounting firm for 6 months.
After completing my graduation, I worked as an Accountant in a small firm for 1 year.
Currently, I am working as a Junior Accountant in a mid-sized company for the past 9 months.
Top trending discussions
I applied via Walk-in and was interviewed before Dec 2020. There were 4 interview rounds.
I am an experienced analyst with a strong background in data analysis and problem-solving.
Experienced analyst with a track record of successfully analyzing complex data sets
Proficient in using various analytical tools and software
Strong problem-solving skills and ability to identify trends and patterns
Excellent communication and presentation skills
Ability to work well in a team and meet deadlines
Example: In my previous...
I applied via Walk-in and was interviewed in Mar 2022. There were 2 interview rounds.
I applied via Naukri.com and was interviewed before Mar 2023. There was 1 interview round.
Basic, reasoning , logical question
I applied via Naukri.com and was interviewed in Jan 2023. There were 2 interview rounds.
Any assignments so easily clear so please
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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