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Microsoft Corporation
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Microsoft Corporation Data Science Analyst Interview Questions and Answers
Microsoft Corporation Data Science Analyst Interview Experiences
1 interview found
Anonymous
I applied via Company Website and was interviewed in Nov 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Basic data science and statistics questions, sql, python, nlp Explain my projects, questions based on that
Interview Preparation Tips
Interview questions from similar companies
Interview Questionnaire
1 Question
- Q1. What PCA, Decision tree and computer vision
- Ans.
PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
Skills evaluated in this interview
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Nothing much technical
Interview Preparation Tips
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
Skills evaluated in this interview
Selected
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed before Jul 2023. There were 3 interview rounds.
Selected
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
(3 Questions)
- Q1. What project I have completed and follow-up questions on that?
- Q2. How to handle class imbalance.
- Ans.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
- Q3. Basic Python coding questions.
(2 Questions)
- Q1. Data-related questions.
- Q2. ML Ops questions.
Interview Preparation Tips
- Python
- MLOPS
Selected
I applied via Company Website and was interviewed in Jul 2024. There were 5 interview rounds.
Harsh Fadadu
Selected
I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed before Sep 2022. There were 2 interview rounds.
Interview Preparation Tips
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