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I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
To understand business knowledge
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posted on 5 Feb 2022
I applied via Referral and was interviewed before Feb 2021. There were 3 interview rounds.
Sql and basis python
Business related case study
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 ...
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...
posted on 8 Mar 2024
I applied via Approached by Company
I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.
Basic aptitude question
I applied via LinkedIn and was interviewed in May 2023. There were 4 interview rounds.
Quantitative Analysis , Reasoning and verbal
I applied via campus placement at Lovely Professional University (LPU) and was interviewed before May 2023. There was 1 interview round.
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
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
I applied via Walk-in and was interviewed before May 2023. There was 1 interview round.
I applied via Walk-in and was interviewed before Oct 2023. There was 1 interview round.
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
posted on 5 Feb 2022
I applied via Referral and was interviewed before Feb 2021. There were 3 interview rounds.
Sql and basis python
Business related case study
based on 2 reviews
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