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I applied via Recruitment Consulltant and was interviewed in Feb 2024. There was 1 interview round.
Deep learning is used over statistical models for complex, non-linear relationships in data.
Deep learning can automatically learn hierarchical representations of data, capturing intricate patterns and relationships.
Statistical models may struggle with high-dimensional data or non-linear relationships, where deep learning excels.
Deep learning can handle unstructured data like images, audio, and text more effectively tha...
XGB is better than RF due to its ability to handle complex relationships and optimize performance.
XGB uses gradient boosting which allows for better handling of complex relationships compared to RF
XGB optimizes performance by using regularization techniques to prevent overfitting
XGB is faster and more efficient in training compared to RF
XGB allows for parallel processing which can speed up computation
XGB has been shown...
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I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 4 interview rounds.
20 min for 25 question that are related to u r profile
Yes, I have worked with MNC clients before.
I have experience working with multinational clients in my previous roles.
I have successfully managed projects for MNC clients, delivering high-quality data analysis.
I am familiar with the challenges and requirements of working with MNC clients, such as cultural differences and complex data sets.
I have collaborated with cross-functional teams to meet the specific needs of MNC ...
Assignment on Sales data to find revenue ,split column
I have completed multiple projects in the last year.
I have completed 5 projects in the last year.
One of the projects involved analyzing customer data to identify trends and patterns.
Another project focused on optimizing inventory management using data analysis techniques.
I also worked on a project that involved creating a predictive model for sales forecasting.
In addition, I collaborated on a project to analyze social ...
All the questions are based on the MCQ , and the syllabus is covered python SQL Power BI
Some questions from the Pandas Data Frame scenario based
I applied via LinkedIn and was interviewed in Mar 2024. There were 2 interview rounds.
More questions about my experience & reason to join.
I applied via Walk-in and was interviewed in Aug 2024. There were 2 interview rounds.
SQL Joins are used to combine rows from two or more tables based on a related column between them.
Types of SQL Joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one match in both tables.
LEFT JOIN returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN returns all rows from the right table and the matched rows from the left tab...
Use DAX to create data modeling on inactive relationship in Power BI.
Use USERELATIONSHIP function to create an inactive relationship between two tables.
Specify the relationship between the tables and the columns to be used in the relationship.
Use CALCULATE function along with USERELATIONSHIP to perform calculations using the inactive relationship.
Duration - 60 Minutes
Topic - Advance DAX, Joints using DAX, all except all
First round will be aptitude test
I have a strong analytical background, excellent problem-solving skills, and a proven track record of delivering actionable insights.
I have a degree in data analytics and relevant work experience
I am proficient in statistical analysis and data visualization tools such as Python, R, and Tableau
I have successfully completed projects where I identified trends and patterns in data to drive business decisions
posted on 17 Mar 2024
posted on 28 Jul 2024
I applied via Job Portal
Sql interiew, you will be asked to answer it on google meet chat
Simple cases of sql in 1 hr interview
based on 1 interview
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