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I was responsible for managing key accounts and developing new business opportunities.
Managed relationships with existing clients to ensure satisfaction and retention
Identified and pursued new business opportunities to drive revenue growth
Collaborated with cross-functional teams to deliver solutions tailored to client needs
I applied via Referral and was interviewed in Feb 2023. There were 4 interview rounds.
Based on position small assignment
I applied via LinkedIn and was interviewed before Dec 2023. There were 2 interview rounds.
Case study on healthtech
I applied via Naukri.com and was interviewed before Nov 2021. There were 2 interview rounds.
PhableCare interview questions for popular designations
I applied via Referral and was interviewed before Aug 2021. There were 2 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Jan 2022. There were 4 interview rounds.
Yes, I have full territory knowledge.
I have extensive knowledge of the geography, demographics, and market trends of the territory.
I have built strong relationships with key stakeholders and decision-makers in the territory.
I am familiar with the competition and their strategies in the territory.
I have a deep understanding of the needs and pain points of customers in the territory.
I regularly update my knowledge throug
I applied via Naukri.com and was interviewed before Sep 2021. There were 3 interview rounds.
I applied via Hirect and was interviewed before Feb 2022. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Jan 2022. There were 2 interview rounds.
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I applied via Campus Placement
I have worked on various projects ranging from data analysis to machine learning models.
Developed a sentiment analysis model using natural language processing techniques
Implemented a recommendation system based on collaborative filtering algorithm
Worked on a predictive maintenance project for optimizing equipment performance
EfficientNets are a family of convolutional neural networks that have been designed to achieve state-of-the-art accuracy with fewer parameters and FLOPS.
EfficientNets use a compound scaling method to balance network depth, width, and resolution for optimal performance.
They are based on a baseline network architecture called EfficientNet-B0, which is then scaled up to create larger models like EfficientNet-B1, Efficient...
Transformers architecture is a deep learning model that uses self-attention mechanism to process sequential data.
Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feed-forward neural networks.
Self-attention mechanism allows the model to weigh the importance of different input tokens when making predictions.
Transformers have achieved state-of-the-art performance in ...
Find the longest subarray of strings in a given array.
Iterate through the array and keep track of the current subarray length.
Reset the subarray length when encountering a non-string element.
Return the length of the longest subarray found.
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Interview experience
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Sales Associate
30
salaries
| ₹3.1 L/yr - ₹5.8 L/yr |
Associate
26
salaries
| ₹3.3 L/yr - ₹5 L/yr |
Key Account Manager
25
salaries
| ₹6 L/yr - ₹14.5 L/yr |
Operations Associate
24
salaries
| ₹3.6 L/yr - ₹5.4 L/yr |
Inside Sales Associate
18
salaries
| ₹3.5 L/yr - ₹5.5 L/yr |
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