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Maruti Suzuki
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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Maths reasoning managerial aptitudes
Logistics in India has seen significant development in recent years, with advancements in technology and infrastructure.
Introduction of GST has streamlined supply chain processes
Growth of e-commerce has led to increased demand for efficient logistics
Investments in warehousing and transportation infrastructure
Implementation of digital tracking systems for better visibility and control
Focus on last-mile delivery solution
I applied via Campus Placement and was interviewed before Aug 2020. There were 3 interview rounds.
I appeared for an interview in Jun 2017.
I applied via Referral and was interviewed before Sep 2017. There were 2 interview rounds.
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Stress-strain curve shows the relationship between stress and strain in a material. It's significant in designing structures.
The curve helps in determining the material's strength, stiffness, and ductility.
It also helps in selecting the appropriate material for a specific application.
The curve can be used to predict the behavior of a material under different loading conditions.
The area under the curve represents the en...
I applied via Recruitment Consultant and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via Company Website and was interviewed in Nov 2020. There were 4 interview rounds.
I applied via Referral and was interviewed before Feb 2022. There were 2 interview rounds.
posted on 16 Mar 2021
I appeared for an interview in Feb 2021.
BILSTM and BERT are both popular models used in Natural Language Processing (NLP) for different tasks.
BILSTM is a type of Recurrent Neural Network (RNN) that can process sequential data and is commonly used for tasks such as sentiment analysis and named entity recognition.
BERT, on the other hand, is a pre-trained Transformer model that can be fine-tuned for various NLP tasks such as question answering and text classifi...
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