Evoke Technologies Data Scientist Interview Questions and Answers

Basic aptitude question

Q1. Basic analysis and ML questions , more focused on approach instead of coding
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Q1. As like other HR rounds
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Q1. Proficiency in cloud technology
Ans. 
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
• Experience with cloud platforms like AWS, Azure, or Google Cloud

• Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage

• Understanding of cloud computing concepts like virtual machines, containers, and serverless computing

• Ability to work with big data technologies like Hadoop, Spa
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Sql and basis python

Business related case study

Q1. Previous Project discussion
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Q1. Tell me about 1 project you have worked on and what did you learn during this?
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Collected and cleaned customer data including demographics, usage patterns, and customer service interactions.

• Used various machine learning algorithms such as logistic regression, random forest, and XGBoost to build and evaluate the model.

• Identified key factors contributing to customer churn such as contract length, monthly charges, and ...read more
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Q2. How do you build a recommendation system?
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A recommendation system can be built using collaborative filtering, content-based filtering, or hybrid approaches.
• Collect and preprocess data on user preferences and item attributes

• Implement collaborative filtering by recommending items based on user behavior and preferences

• Utilize content-based filtering by recommending items similar to those previously liked by the user

• Consider hybrid approaches that combine collabor...read more
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Q1. Reverse a string in list
Ans. 
Reverse a string in a list of strings
• Iterate through each string in the list

• Use the built-in function to reverse each string

• Store the reversed strings in a new list
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Q2. Explain joins in sql
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Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Joins are used to retrieve data from multiple tables based on a related column

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
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Q1. Rating compliment the process
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Basic aptitude question

Q1. Basic analysis and ML questions , more focused on approach instead of coding
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Q1. As like other HR rounds
Add your answer