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My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in May 2024. There were 5 interview rounds.
MCQs on ML, SQL. Timed test.
Interviewer was nice and had good knowledge. Asked to introduce myself, asked me to solve 2 programming question on Python.
1. Valid Parenthesis
2. Find longest increasing subsequence
Asked about project and technical questions related to project
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
I applied via Company Website and was interviewed before Jul 2023. There were 2 interview rounds.
Python string manupulation questions
SQL, Python and Apti ques
Seeking new challenges and growth opportunities in a different environment.
Looking for new challenges to enhance my skills and knowledge
Seeking growth opportunities that align with my career goals
Interested in exploring different work environments and cultures
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
Asked 2 to 3 python coding question...
I applied via Job Portal
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is robust to overfitting and noisy data, and can handle large datasets wi...
Lasso is a feature selection technique that penalizes the absolute size of the regression coefficients.
Lasso stands for Least Absolute Shrinkage and Selection Operator
It adds a penalty term to the regression equation, forcing some coefficients to be exactly zero
Helps in selecting the most important features and reducing overfitting
Useful when dealing with high-dimensional data
Example: In a dataset with multiple feature...
based on 1 interview
Interview experience
Senior Analyst
96
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Analyst
74
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Business Analyst
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Associate Manager
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Data Analyst
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