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Technical round evaluates candidate's technical skills, problem-solving abilities, and knowledge in data science.
Coding skills - ability to write efficient code and solve problems
Data analysis skills - ability to manipulate and analyze data
Machine learning knowledge - understanding of algorithms and models
Problem-solving abilities - approach to solving complex problems
Communication skills - ability to explain technical...
Round 2 evaluates technical skills, problem-solving abilities, communication skills, and cultural fit.
Technical skills related to data analysis, machine learning, statistics, and programming languages like Python or R
Problem-solving abilities through case studies, coding challenges, or real-world data analysis tasks
Communication skills in explaining complex concepts, collaborating with team members, and presenting find...
HR Round evaluates the candidate's fit for the company culture, communication skills, behavioral traits, and overall professionalism.
Fit for company culture
Communication skills
Behavioral traits
Professionalism
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My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
General aptitude basics
Mcq and basic ml model building
I applied via Approached by Company
Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.
Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.
Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.
Transformers have been shown ...
Different types of Attention include self-attention, global attention, and local attention.
Self-attention focuses on relationships within the input sequence itself.
Global attention considers the entire input sequence when making predictions.
Local attention only attends to a subset of the input sequence at a time.
Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.
GPT is a generative model while BERT is a transformer model for natural language processing.
GPT is a generative model that predicts the next word in a sentence based on previous words.
BERT is a transformer model that considers the context of a word by looking at the entire sentence.
GPT is unidirectional, while BERT is bidirectional.
GPT is better for text generation tasks, while BERT is better for understanding the cont
Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.
Data scientists analyze large amounts of data to uncover patterns and insights.
Machine learning involves developing algorithms that improve automatically through experience.
Artificial intelligence r...
I applied via Naukri.com and was interviewed in Jun 2024. There were 4 interview rounds.
First round is coding round where two use cases are there. Need to solve them
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
Asked 2 to 3 python coding question...
I applied via Job Portal
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is robust to overfitting and noisy data, and can handle large datasets wi...
Lasso is a feature selection technique that penalizes the absolute size of the regression coefficients.
Lasso stands for Least Absolute Shrinkage and Selection Operator
It adds a penalty term to the regression equation, forcing some coefficients to be exactly zero
Helps in selecting the most important features and reducing overfitting
Useful when dealing with high-dimensional data
Example: In a dataset with multiple feature...
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
Easy to solve if you have basic mathematics understanding.
They will test your presence of mind and thinking.
Maths and probability
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