Filter interviews by
Be the first one to contribute and help others!
I applied via AngelList and was interviewed before Mar 2023. There were 3 interview rounds.
Had multiple questions on Array and String overall the difficulty level was medium the interviewer was friendly and patient
I applied via Referral and was interviewed in Aug 2022. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
I applied via Referral and was interviewed in Apr 2022. There were 2 interview rounds.
I applied via Campus Placement
It was a GD of 6 people where a Current Affairs topic was provided by the panel.
I am a dedicated and experienced professional with a strong background in leadership and team management.
Over 5 years of experience in management roles
Skilled in motivating and leading teams to achieve goals
Strong communication and problem-solving abilities
Previously managed a team of 20+ employees at XYZ Company
My hobbies include hiking, reading, and playing the guitar.
I enjoy hiking in the mountains and exploring new trails.
I love reading fiction novels in my free time.
I have been playing the guitar for several years and enjoy learning new songs.
My CGPA is 3.8 out of 4.0.
My CGPA is 3.8
It is on a scale of 4.0
I have consistently maintained a high CGPA throughout my academic career
I have recently completed my Bachelor's degree in Computer Science
Bachelor's degree in Computer Science
Completed in May 2021
Focused on software development and programming languages
I applied via Shine and was interviewed in May 2023. There were 2 interview rounds.
Sliding window problem involves finding a subarray of fixed size k with maximum sum.
Use a sliding window approach to iterate through the array and calculate the sum of each subarray of size k.
Keep track of the maximum sum encountered so far.
Move the window by one element at a time and update the sum accordingly.
Example: Given array [1, 3, -1, -3, 5, 3, 6, 7] and k = 3, the subarray with maximum sum is [5, 3, 6] with su
Executive Accountant
5
salaries
| ₹0 L/yr - ₹0 L/yr |
Logistics Manager
4
salaries
| ₹0 L/yr - ₹0 L/yr |
Retail Store Manager
4
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Executive
4
salaries
| ₹0 L/yr - ₹0 L/yr |
Accounts & Finance Executive
4
salaries
| ₹0 L/yr - ₹0 L/yr |
Pantaloons
Aditya Birla Fashion and Retail
Future Retail
Reliance Retail