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I applied via Approached by Company and was interviewed in Sep 2023. There were 3 interview rounds.
They were asking about positive attitude
Questions asked about working culture and Responsibilities..
I applied via Company Website and was interviewed before Jun 2021. There was 1 interview round.
I applied via Campus Placement and was interviewed before Nov 2020. There were 4 interview rounds.
posted on 23 Nov 2020
I applied via Walk-in and was interviewed before Nov 2019. There was 1 interview round.
I applied via Referral and was interviewed before Oct 2021. There were 3 interview rounds.
That was 1 hour apti test with subjective questions
This was coding round with DSA. Good basic questions
I applied via Walk-in and was interviewed in Aug 2023. There was 1 interview round.
I applied via Campus Placement
I am a highly experienced consultant with a strong background in problem-solving and strategic planning.
Over 10 years of experience in consulting roles
Expertise in analyzing complex business challenges and developing effective solutions
Proven track record of successfully implementing strategies and driving organizational growth
Strong communication and interpersonal skills, able to build relationships with clients and s...
Global industry is experiencing fluctuating interest rates, focus on increasing profitability of companies like Swiggy, and market sizing guesstimates.
Interest rates are currently fluctuating due to economic uncertainties and central bank policies.
To increase profitability of Swiggy, focus on optimizing operational efficiency, expanding customer base, and enhancing delivery services.
Market sizing guesstimates involve e...
I applied via Recruitment Consulltant and was interviewed before Mar 2023. There was 1 interview round.
List is mutable, tuple is immutable in Python.
Lists are mutable, meaning their elements can be changed after creation.
Tuples are immutable, meaning their elements cannot be changed after creation.
Lists are defined using square brackets [], tuples using parentheses ().
Lists are typically used for collections of similar items, tuples for fixed collections of dissimilar items.
Generators in Python are functions that allow you to iterate over a sequence of items without storing them all in memory at once.
Generators are created using a function with 'yield' instead of 'return'.
They are used to generate a sequence of values lazily, one at a time.
Generators are memory efficient as they do not store all values in memory at once.
Example: def my_generator(): for i in range(5): yield i
Example: ...
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Shah Technical Consultants
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