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posted on 20 Oct 2023
I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
I build strong relationships with operations through open communication, collaboration, and understanding of their needs.
Regular communication with operations team to understand their challenges and needs
Collaborating on projects and initiatives to support operational goals
Providing training and development opportunities tailored to operations' specific needs
Seeking feedback and actively listening to concerns to addres...
It is important to build relationships and communicate effectively with operations to gain their support.
Build relationships with key stakeholders in operations to understand their concerns and priorities
Communicate the benefits of learning and development initiatives to operations in terms of improved performance and efficiency
Seek feedback from operations on their training needs and tailor programs to meet their requ...
I prepared a ppt based on any topic of my choice and need to present it to the HR and L&D team.
posted on 27 Feb 2024
Given the API rand7() that generates a uniform random integer in the range [1, 7], write a function rand10() that generates a uniform random integer in the range [1, 10]. You can only call the API rand7(), and you shouldn't call any other API. Please do not use a language's built-in random API.
posted on 5 May 2023
I applied via LinkedIn and was interviewed before May 2022. There were 3 interview rounds.
My projects I have worked on.
Every details about my projects machine learning algorithms I have worked on detailed discussion about the algorithms.
How to handle missing values?
How to handle outliers?
Best technique handle missing values?
Neural networks, architectures, Why and Which Neural Network you have used. Why not the other one.
Outliers are data points that deviate significantly from the rest of the data. They can be handled by removing, transforming or imputing them.
Outliers can be detected using statistical methods like Z-score, IQR, or visual methods like box plots.
Removing outliers can lead to loss of information, so transforming or imputing them is preferred.
Transforming outliers can be done by applying mathematical functions like log, s...
CNN stands for Convolutional Neural Network, used for image classification and object recognition.
CNN is a type of neural network that uses convolutional layers to extract features from images.
It is commonly used for image classification and object recognition tasks.
CNNs can have multiple layers, including convolutional, pooling, and fully connected layers.
The number of layers used depends on the complexity of the task...
posted on 26 May 2024
I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.
posted on 20 Jan 2022
I applied via Approached by company and was interviewed before Jan 2021. There were 4 interview rounds.
Usage of Predictive Index Test
posted on 14 May 2021
I applied via Company Website and was interviewed before May 2020. There were 3 interview rounds.
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Starbucks
café Coffee day
Barista Coffee Company
Costa Coffee