Axtria Associate Data Science Consultant Interview Questions and Answers

3 question were asked in 90 min time

Q1. What is precison ?
Ans. 
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.
• Precision is calculated as TP / (TP + FP), where TP is true positives and FP is false positives.

• It measures the accuracy of positive predictions made by the model.

• A high precision indicates that the model is good at predicting positive cases without many false positives.

• For example, in a binary classificatio...read more
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Q2. What is large lang. model ?
Ans. 
A large language model is a type of artificial intelligence model that is capable of understanding and generating human language at a large scale.
• Large language models use deep learning techniques to process and generate text.

• Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
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Q1. Basicn details to check for qualifications
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Q1. About my projects
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Q1. More details about ML models
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Mostly data related question and two coding questions which we had to do in python only

Q1. They asked the mathematics behind Adam Optimizer
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Q2. What is attention in term of data science?
Ans. 
Attention in data science refers to the mechanism that allows models to focus on specific parts of the input data.
• Attention mechanisms help models to weigh the importance of different input features.

• They are commonly used in natural language processing tasks such as machine translation and text summarization.

• Attention can improve the performance of models by allowing them to selectively focus on relevant information.

• Ex...read more
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Q3. Questions on whether you would use precision and recall in real life example for measuring accuracy.
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Q1. How would you judge the efficiency of LLMs
Ans. 
Efficiency of LLMs can be judged based on various factors such as accuracy, speed, resource consumption, and interpretability.
• Evaluate accuracy by comparing LLM predictions with ground truth labels

• Assess speed by measuring the time taken for LLM to process data

• Analyze resource consumption in terms of memory and computational power usage

• Consider interpretability by examining how easily LLM decisions can be understood

• Use...read more
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Q2. Questions on CV mostly
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Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...read more
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Hacker Rank Test on coding questions

Q1. Whats difference between KNN and Kmeans
Ans. 
KNN is a supervised learning algorithm used for classification and regression, while Kmeans is an unsupervised clustering algorithm.
• KNN is a supervised learning algorithm that classifies a new data point based on the majority class of its k-nearest neighbors.

• Kmeans is an unsupervised clustering algorithm that partitions data into k clusters based on similarity.

• KNN requires labeled training data, while Kmeans does not r...read more
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Q2. Coding a training pipeline
Ans. 
Coding a training pipeline involves creating a process to train machine learning models efficiently.
• Define the data preprocessing steps

• Split the data into training and validation sets

• Choose a machine learning algorithm to train the model

• Tune hyperparameters to optimize model performance

• Evaluate the model using metrics like accuracy or loss
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Q1. Be prepared with your strength and weakness and just be yourself.
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1 hr test, simple aptitude questions

Simple coding questions

Q1. Reverse the string
Ans. 
Reverse a given string
• Iterate through the string from end to start and append each character to a new string

• Use built-in functions like reverse() in Python or StringBuilder.reverse() in Java

• Convert the string to an array, reverse the array, and convert it back to a string
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Q2. Basic Networking questions
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Q3. Questions on working of jvm
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Machine learning advantages and disadvantage
hello world hello OWRLD2

Q1. What is u r name
Ans. 
My name is John Doe.
• Full name is John Doe

• Common first and last name combination

• No middle name provided
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Q2. What is salary expectation?
Ans. 
I am looking for a competitive salary based on my skills, experience, and the industry standard.
• Research the average salary for Associate Software Engineers in the industry

• Consider your level of experience and skills when determining your salary expectation

• Be prepared to negotiate based on the company's offer and benefits package
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