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I was interviewed in Dec 2024.
Experienced retail professional with strong leadership skills and a passion for customer service.
Over 5 years of experience in retail management
Proven track record of increasing sales and improving customer satisfaction
Strong communication and team-building skills
Proficient in inventory management and merchandising
Passionate about providing exceptional customer service
I have over 5 years of experience in retail management, leading teams and driving sales.
Managed a team of 15 sales associates, providing training and guidance to improve performance
Implemented sales strategies that resulted in a 10% increase in revenue
Handled inventory management, including ordering and restocking products
Responsible for creating employee schedules and managing payroll
To improve sales contribution, focus on training, motivation, customer service, and product knowledge.
Provide ongoing training for sales staff to improve their skills and knowledge.
Motivate employees through incentives, recognition, and rewards for achieving sales targets.
Enhance customer service by ensuring staff are attentive, helpful, and knowledgeable about products.
Increase product knowledge among staff to better ...
posted on 12 Feb 2022
I was interviewed in Jan 2022.
I applied via Naukri.com and was interviewed in Nov 2023. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Jun 2024. There were 2 interview rounds.
Excel Formula, Hr related excel formula
I applied via Naukri.com and was interviewed before Jun 2023. There was 1 interview round.
I applied via Referral and was interviewed before Jun 2021. There were 2 interview rounds.
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 Apr 2022. There were 2 interview rounds.
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
based on 3 interviews
Interview experience
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