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I applied via Referral and was interviewed before Apr 2023. There was 1 interview round.
Different types of joins in SQL include inner join, outer join, left join, and right join. Handling duplicates can be done using DISTINCT keyword or GROUP BY clause.
Types of joins in SQL: inner join, outer join, left join, right join
Handling duplicates in SQL: use DISTINCT keyword or GROUP BY clause
Handling duplicates in Excel: use Remove Duplicates feature
Union combines and removes duplicates, Union All combines all rows including duplicates.
Union combines the result sets of two or more SELECT statements and removes duplicates
Union All combines the result sets of two or more SELECT statements including duplicates
Union is slower than Union All as it involves removing duplicates
Window functions in SQL are used to perform calculations across a set of table rows related to the current row.
Window functions are used to calculate values based on a specific subset of rows within a result set.
They do not cause rows to become grouped into a single output row like aggregate functions.
Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
Informatica is a data integration tool used for ETL (Extract, Transform, Load) processes in data engineering.
Informatica is used for extracting data from various sources like databases, flat files, etc.
It can transform the data according to business rules and load it into a target data warehouse or database.
Informatica provides a visual interface for designing ETL workflows and monitoring data integration processes.
It ...
Datastage is an ETL tool used for extracting, transforming, and loading data from various sources to a target destination.
Datastage is part of the IBM Information Server suite.
It provides a graphical interface to design and run data integration jobs.
Datastage supports parallel processing for high performance.
It can connect to a variety of data sources such as databases, flat files, and web services.
Datastage jobs can b...
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...
I applied via Internshala and was interviewed in May 2024. There were 2 interview rounds.
Done in notepad. Data analysis fundamental and coding fundamentals were covered.
General Aptitude test
I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.
Basic aptitude question
posted on 10 Jul 2024
I applied via campus placement at Nitte Meenakshi Institute of Technology, Bangalore and was interviewed before Nov 2023. There were 5 interview rounds.
2 coding questions in 45 min
30 min of logical reasoning and basic aptitude
30 min of GD over a general topic to check your communication skills
Interview experience
based on 1 review
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Associate Data Analyst
21
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| ₹2.2 L/yr - ₹3.2 L/yr |
Data Analyst
14
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| ₹2 L/yr - ₹3.1 L/yr |
Operations Associate
11
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| ₹2 L/yr - ₹2.6 L/yr |
Associate Software Developer
11
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| ₹2 L/yr - ₹3 L/yr |
Associate Software Engineer
9
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| ₹2.2 L/yr - ₹4.2 L/yr |
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