Mirafra Technologies Data Scientist Interview Questions and Answers

Q1. When do we use PCA?
Ans. 
PCA is used to reduce the dimensionality of data by finding the most important features.
• PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.

• It helps in visualizing data in lower dimensions while retaining as much variance as possible.

• PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.
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Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
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Q1. LTTS data science interview
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Q1. All about my previous projects and questions based on that. Also, they checked the knowledge of Generative AI & LLM.
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Q1. All about my previous projects and questions based on that. It was a techno-managerial round which was also focused on situation based scenarios. Taken by Head of AI/ML - CoE.
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Q1. Basics of Data Science was asked
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Q1. About projects and technical side of project tech stack
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Coding and AI related Questions

Q1. Detail technical questions on projects
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Q1. What kind of project you worked
Ans. 
I have worked on projects involving predictive modeling, natural language processing, and computer vision.
• Predictive modeling: Developed machine learning models to predict customer churn for a telecom company.

• Natural language processing: Built a sentiment analysis tool to analyze customer reviews for a retail company.

• Computer vision: Implemented a facial recognition system for access control in a secure facility.
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Q1. Python coding questions followed by machine learning , deep learning algorithms
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Q1. Explain confusion matrix Define what is p value Explain k means vs decion tree
Ans. 
Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.
• Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

• P value is the probability ...read more
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Q1. What is nlp and explan cnn
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NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.
• NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

• CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

• CNNs are also used in NLP for tasks like text classification and sentiment analysis.
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