Ericsson Data Scientist Interview Questions, Process, and Tips

Q1. Difference between Data Warehouse, Data Lakes and Tables
Ans. 
Data Warehouse stores structured data for reporting and analysis, Data Lakes store raw and unstructured data, Tables are basic data structures.
• Data Warehouse is used for storing structured data from various sources for reporting and analysis.

• Data Lakes store raw and unstructured data in its native format for future processing and analysis.

• Tables are basic data structures used to organize and store data in a structured ...read more
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Q2. Query difference betweeen Group by and Partition by
Ans. 
Group by is used to group rows that have the same values into summary rows, while Partition by is used to divide the result set into partitions to which the function is applied separately.
• Group by is used with aggregate functions to group rows based on a column or set of columns.

• Partition by is used with window functions to divide the result set into partitions.

• Group by is used with SELECT statement, while Partition by...read more
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Q3. Machine Learning questions such as Regression, Trees etc
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Basic aptitude ques were asked

Q1. Projects discussion
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Q2. Probability questions
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Q1. Why Ericsson and 5 year plan
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Q2. Your strength and weakness
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Q1. ML questions and deep learning
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Q2. Project in your cv
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Used Python and scikit-learn for data preprocessing and model building

• Performed feature engineering to improve model performance

• Evaluated model using metrics like accuracy, precision, and recall
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Q1. Isolatn forest work? evalution metrics in laymann tems , pyspark basics , job lib
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Q1. Scenerio based data science questns , paramatric and non parametric data
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