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I applied via Recruitment Consulltant and was interviewed in Mar 2024. There was 1 interview round.
Python, Django, SQL, Algorithms
I applied via LinkedIn and was interviewed in Nov 2022. There were 2 interview rounds.
Our next 5-year plan is focused on expanding our global reach and increasing revenue through innovation and strategic partnerships.
Expand global presence through targeted marketing and sales efforts
Invest in research and development to drive innovation and stay ahead of competitors
Forge strategic partnerships with key players in the industry to increase revenue and market share
Implement cost-saving measures to improve ...
Generating revenue requires a strategic approach that involves identifying target markets, creating value propositions, and implementing effective sales and marketing strategies.
Identify target markets and understand their needs
Create value propositions that differentiate your product or service
Implement effective sales and marketing strategies, such as digital marketing, social media, and networking
Offer promotions, d...
I applied via Company Website and was interviewed in Sep 2021. There were 3 interview rounds.
EyeMyEye interview questions for popular designations
Top trending discussions
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.
I was interviewed in Dec 2024.
I was given 4 questions and asked to share the response in a presentation format for them
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur
Experienced cluster manager with a proven track record in team leadership and strategic planning.
Over 5 years of experience in managing multiple teams and projects simultaneously
Strong leadership skills with the ability to motivate and inspire team members
Expertise in strategic planning and execution to achieve organizational goals
Excellent communication and interpersonal skills for effective team collaboration
Proven t...
I was interviewed in Dec 2024.
Core Java, Spring boot, Hibernate, MySQL
posted on 17 Oct 2024
I applied via Campus Placement and was interviewed in Sep 2024. There were 5 interview rounds.
A random topic was given and we had to speak on it
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
Passionate about data science
Believe company offers growth and learning opportunities
Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.
Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.
It can result from the data used to train the model being unrepresentative or skewed.
Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.
Examples inclu...
Regression in ML is a supervised learning technique used to predict continuous values based on input features.
Regression models establish a relationship between dependent and independent variables.
Common regression algorithms include linear regression, polynomial regression, and logistic regression.
Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.
Example: Predicting house prices b...
50 question in 15 mins
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
I am passionate about data science and enjoy working with data to derive insights and make informed decisions.
I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.
I am impressed by the projects your c...
based on 3 interviews
Interview experience
based on 39 reviews
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MIS Executive
26
salaries
| ₹2 L/yr - ₹3.2 L/yr |
CRM Executive
13
salaries
| ₹2.8 L/yr - ₹4.5 L/yr |
Assistant Manager
10
salaries
| ₹4.6 L/yr - ₹7 L/yr |
Team Lead
6
salaries
| ₹4.8 L/yr - ₹5.3 L/yr |
Senior Executive
6
salaries
| ₹3 L/yr - ₹4.7 L/yr |
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