Mata Amritanandamayi Math Statistician Interview Questions and Answers

Q1. How do you work with a team
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Q2. Tell me about your recent project
Ans. 
Developed a predictive model for customer churn in a telecom company
• Used machine learning algorithms such as logistic regression and random forest

• Performed data preprocessing and feature engineering to improve model performance

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q1. Related Python Questions on Data Science
Ans. Brush up your knowledge on pandas numpy scikitlearn
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Q1. What projects you have done walk through
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Q2. Explain self join
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Contained 3 coding question and 10 mcq on stats, ML and SQL, They asked to complete in 1hr to get shortlisted for next round. Then next round didn't happen

Q1. Technical interview related to my projects and assignments
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Q2. Difference between supervised and unsupervised learning, k means clustering, knn, SQL joins
Ans. 
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.
• Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data

• K-means clustering is a type of unsupervised learning...read more
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Coding problem with python and sql join queries

Hackerrank statistics and dsa

Q1. SQL pivots , window functions, there was one question related to duplicates removal.
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Q2. Python Excel vlookups, pandas, numpy
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Q1. Machine learning topics
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Q1. Probability, statistics, aptitude questions
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Q1. Negotiations related to your package thats all
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