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I applied via Walk-in and was interviewed in Feb 2022. There were 2 interview rounds.
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I applied via Referral and was interviewed before Dec 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed before Nov 2020. There was 1 interview round.
posted on 26 Jan 2022
I appeared for an interview in Dec 2021.
I was employed as a Warehouse Supervisor, overseeing daily operations and ensuring efficient inventory management.
Managed a team of 15 warehouse staff, improving productivity by 20%.
Implemented a new inventory tracking system that reduced errors by 30%.
Coordinated with logistics to streamline shipping processes, resulting in faster delivery times.
I am a dedicated warehouse executive with a passion for logistics, originally from a small town with a strong work ethic.
Background: Grew up in a small town, learning the value of hard work from my family.
Experience: Over 10 years in warehouse management, optimizing operations and improving efficiency.
Skills: Proficient in inventory management systems and team leadership, ensuring smooth workflow.
Passion: Committed to ...
posted on 10 Jun 2021
I applied via Naukri.com and was interviewed in Jan 2021. There was 1 interview round.
posted on 3 Oct 2024
I applied via Referral and was interviewed in Apr 2024. There was 1 interview round.
My future goal is to become a successful Operations Executive by continuously improving my leadership skills and driving operational efficiency.
Continuously improve leadership skills through training and mentorship programs
Drive operational efficiency by implementing process improvements and automation
Work towards achieving measurable results and exceeding performance targets
I applied via Recruitment Consulltant and was interviewed in Dec 2023. There were 2 interview rounds.
General knowledge test about field
I applied via Campus Placement
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.
It estimates the probability of the outcome using a logistic function.
The model calculates the odds of the outcome and transforms them into probabilities.
It uses a logit link ...
based on 6 reviews
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