GE Healthcare Data Scientist Interview Questions and Answers

Q1. SQL related questions on snowflake and databricks
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Q1. Database architecture and design related questions
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Q1. Databricks experience, domain knowledge and mostly experience related questions.
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Q1. Expectations and how you would be a good fit. All general HR questions that you can find
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It was basic aptitude but it was online

Q1. Write python code for bizzbuss for prime or not prime\
Ans. 
Python code for determining if a number is prime or not and applying bizzbuzz logic.
• Write a function to check if a number is prime or not

• Iterate through a range of numbers and apply bizzbuzz logic

• Return 'prime' if the number is prime, 'bizz' if divisible by 3, 'buzz' if divisible by 5, and 'bizzbuzz' if divisible by both 3 and 5
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Q1. Type of Filters in Tableau.
Ans. 
Tableau offers various types of filters including quick filters, context filters, and data source filters.
• Quick filters allow users to easily filter data by selecting values from a list.

• Context filters are applied before other filters, affecting the data visible to subsequent filters.

• Data source filters limit the data available to Tableau by filtering data at the data source level.

• Other types of filters include extract...read more
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Q2. Types of refresh in Tableau
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There are two types of refresh in Tableau: Extract Refresh and Data Source Refresh.
• Extract Refresh: Refreshes the data in Tableau extract, which is a snapshot of data from the original data source.

• Data Source Refresh: Refreshes the data directly from the original data source.

• Examples: Extract Refresh is useful when working with large datasets to improve performance, while Data Source Refresh ensures real-time data upda
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Q3. Difference in Extract and live connection.
Ans. 
Extract connection imports data into Tableau workbook while live connection directly connects to data source.
• Extract connection creates a static snapshot of data in Tableau workbook.

• Live connection directly queries data from the source in real-time.

• Extract connection is useful for large datasets or when offline access is needed.

• Live connection is beneficial for real-time data analysis and dynamic updates.

• Example: Extra...read more
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Q1. Self introduction
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Q2. Preferences in life about your studies
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Q1. Studies based from your overall whole randomly topic wise Qs
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Q2. Base on your studies
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Group discussion was amazing not to muuch difficult but based on anylitical or logical questions based
GD surrounds was lite not stressed.
Some hobbies question round

Must everyone to speak atleast on one question

Q1. What time intelligence functions can be used for ytd and qtd analysis
Ans. 
Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.
• YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.

• QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.

• Thes...read more
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Q2. Difference between import and direct query
Ans. 
Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.
• Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.

• Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.

• Import is suitable for smaller datasets, while direct query is better for large da
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Q1. Hr questions about my background with company
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Q2. About my technical skills
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