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SQL coding test to check data engineering knowledge
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I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 4 interview rounds.
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I can code a program in Python and Java.
I am proficient in both Python and Java programming languages.
I have experience in developing web applications using Python and Java frameworks.
I can write efficient and optimized code in both languages.
I can develop programs for data analysis, machine learning, and automation using Python.
I can develop enterprise-level applications using Java.
Examples: Python - a program to scra...
I applied via Recruitment Consultant and was interviewed in Sep 2021. There were 4 interview rounds.
In my previous company, I worked as a Consultant where I provided expert advice and solutions to clients.
Analyzed client's business processes and identified areas for improvement
Developed and implemented strategies to optimize client's operations
Conducted market research and competitor analysis to identify market trends
Provided recommendations and solutions to clients based on data analysis
Collaborated with cross-funct...
I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
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I applied via Company Website and was interviewed in Dec 2023. There were 2 interview rounds.
Ridge and lasso regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.
Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients, while lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients.
Ridge regression tends to shrink the coefficients towards zer...
Random forest is an ensemble method using multiple decision trees, XGBoost is a gradient boosting algorithm that builds trees sequentially.
Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Decision tree is a single tree model that makes decisions based on features to predict outcomes.
XGBoost is a gradient boosting algorithm that builds trees sequentially, op...
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