Ugro Capital Senior Executive Interview Questions and Answers

Q1. Data frame making in python
Ans. 
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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Q2. Random forest basic questions
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Q1. About youself with family background
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Q2. Questioning about relevent current job
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Basic aptitude test . quantivative

Nbfc . in india and its performance

Q1. Self Introduction
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Q2. Journey of Life
Ans. 
Life is a journey filled with ups and downs, challenges and opportunities, growth and self-discovery.
• Life is a series of experiences that shape who we are

• We encounter obstacles and setbacks that test our resilience

• There are moments of joy and success that make the journey worthwhile

• Self-reflection and personal growth are key components of the journey
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How to handling customer?

Q1. How to work npa bucket
Ans. 
Working the NPA bucket involves effectively managing and recovering non-performing assets.
• Identify and prioritize non-performing assets

• Develop and implement strategies for recovery

• Monitor and track progress regularly

• Utilize legal and collection resources when necessary

• Maintain strong communication with borrowers

• Analyze root causes of non-performing assets and address them

• Collaborate with internal teams and external age...read more
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Multiple Choice Questions

Q1. Why do you want to join us
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