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Blackstraw AI
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I was interviewed before Feb 2023.
List is mutable, tuple is immutable. Day-to-day work involves data analysis and modeling. Favorite project involved developing a predictive analytics model.
List can be modified after creation, tuple cannot
List uses square brackets [], tuple uses parentheses ()
Day-to-day work includes data cleaning, exploratory data analysis, model building, and communication of results
Favorite project involved collecting and analyzing ...
Regression predicts continuous values, while classification predicts discrete values.
Regression algorithms predict continuous values, such as predicting house prices based on features like size and location.
Classification algorithms predict discrete values, such as classifying emails as spam or not spam based on content.
Regression algorithms include linear regression, polynomial regression, and support vector regressio...
RNN is used for sequential data like time series, while CNN is used for spatial data like images.
RNN processes sequential data by maintaining memory of past inputs, suitable for time series forecasting.
CNN is designed for spatial data like images, using filters to extract features and patterns.
RNN is good for text data analysis, language translation, and speech recognition.
CNN is commonly used in image recognition, obj
Top trending discussions
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
I applied via Recruitment Consultant and was interviewed in Jun 2021. There were 4 interview rounds.
Developed a predictive model for customer churn using Random Forest algorithm.
Used Python and scikit-learn library for model development
Performed data cleaning, feature engineering, and exploratory data analysis
Tuned hyperparameters using GridSearchCV and evaluated model performance using cross-validation
Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions
Other...
I applied via Naukri.com and was interviewed in Oct 2022. There were 5 interview rounds.
Basic statistics questions and coding questions on modeling
To solve conflicts between two people in my team, I would encourage open communication, facilitate a discussion, and find a mutually agreeable solution.
Encourage open and honest communication between the two individuals involved
Facilitate a discussion where both parties can express their concerns and perspectives
Identify common ground and areas of agreement
Encourage empathy and understanding towards each other's viewpo...
I applied via Naukri.com and was interviewed before Aug 2021. There were 4 interview rounds.
Machine learning MCQ questions. 2 model-building questions.
I applied via Company Website and was interviewed in Feb 2022. There were 2 interview rounds.
There were 13 questions
2 was coding and other multiple choice questions
one coding question was wine quality test
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
Python questions moderate to difficult
I am a data scientist with a background in statistics and machine learning.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis.
I have worked on projects involving predictive modeling and data visualization.
I am passionate about using data to drive business decisions and solve complex problems.
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
Asked 2 to 3 python coding question...
based on 1 interview
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Data Scientist
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