Data Associate Interview Questions

2,708 data associate interview questions shared by candidates

* Coding round followed by interview * Questions on Linear regression - how gradient descent works * RMSE * Logistic regrerssion * Cross entropy loss * question from project * Softmax activation * puzzle question * Question on convolution neural netwoks and its working * vgg 16 architecture * pca working * Convolution and padding
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Associate Data Science

Interviewed at Sigmoid

4
Sep 24, 2021

* Coding round followed by interview * Questions on Linear regression - how gradient descent works * RMSE * Logistic regrerssion * Cross entropy loss * question from project * Softmax activation * puzzle question * Question on convolution neural netwoks and its working * vgg 16 architecture * pca working * Convolution and padding

Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects
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Associate Data Engineer

Interviewed at Incedo

4.1
May 23, 2023

Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects

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