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I applied via Approached by Company and was interviewed in Mar 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL -- LeetCode style questions Medium lvl
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
Conduct data analysis to identify trends and patterns in customer behavior
Use data to personalize marketing strategies and recommend products to customers
Optimize website layout and user experience based on data insights
Implement data-driven pricing strategies to maximize sales and profits
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
posted on 10 Aug 2024
I applied via Approached by Company and was interviewed in Jul 2024. There were 3 interview rounds.
1 hour duration. Normal aptitude test
Testing is the process of evaluating a system or application to identify defects or errors.
Testing involves executing a system or application to find bugs or issues.
It ensures that the software meets the specified requirements and functions correctly.
Types of testing include unit testing, integration testing, system testing, and acceptance testing.
Examples of testing tools include Selenium, JUnit, and TestNG.
I applied via campus placement at SRM Institute of Science & Technology, Chennai and was interviewed in Apr 2024. There was 1 interview round.
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.
SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.
Logistic regression is more interpretable and easier to implement...
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
I applied via Referral and was interviewed in Feb 2024. There were 2 interview rounds.
Drop deletes the table structure and data, while truncate only deletes the data.
Drop is a DDL (Data Definition Language) command, while truncate is a DML (Data Manipulation Language) command.
Drop removes the table from the database, while truncate only removes the rows from the table.
Drop is slower and requires more permissions than truncate.
Example: DROP TABLE table_name; TRUNCATE TABLE table_name;
I am switching to non-core because I want to explore new opportunities and challenges outside of my current field.
Seeking new challenges and opportunities
Exploring different industries and roles
Developing new skills and gaining diverse experience
I am looking for a competitive salary that reflects my skills and experience in the data analysis field.
Research the average salary for Data Analysts in your area to have a realistic expectation
Consider your level of experience, education, and any specialized skills you bring to the table
Be prepared to negotiate based on the company's budget and benefits package
I applied via Campus Placement
based on 1 interview
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