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Blenheim Chalcot
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I applied via LinkedIn and was interviewed before Oct 2023. There were 3 interview rounds.
Basic aptitude question
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 was interviewed in Jul 2024.
RAG stands for Red, Amber, Green and is a color coding system used to indicate the status of a project or task.
RAG is commonly used in project management to quickly communicate the status of different tasks or projects.
Red typically indicates that a task or project is behind schedule or facing significant issues.
Amber signifies that there are some concerns or risks that need to be addressed.
Green means that a task or p...
I trained the LLM model using a combination of labeled data, feature engineering, and iterative model tuning.
Collected and preprocessed labeled data for training
Performed feature engineering to extract relevant features
Used iterative model tuning to optimize performance
Evaluated model performance using metrics like accuracy, precision, and recall
I was interviewed in Jul 2024.
RAG stands for Red, Amber, Green and is a color coding system used to indicate the status of a project or task.
RAG is commonly used in project management to quickly communicate the status of different tasks or projects.
Red typically indicates that a task or project is behind schedule or facing significant issues.
Amber signifies that there are some concerns or risks that need to be addressed.
Green means that a task or p...
I trained the LLM model using a combination of labeled data, feature engineering, and iterative model tuning.
Collected and preprocessed labeled data for training
Performed feature engineering to extract relevant features
Used iterative model tuning to optimize performance
Evaluated model performance using metrics like accuracy, precision, and recall
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 3 reviews
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Senior Software Engineer
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| ₹10.5 L/yr - ₹36 L/yr |
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Operations Analyst
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