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I was interviewed in Jul 2024.
Focus on logical reasoning, quantitative analysis, and verbal reasoning.
Two questions were given that pertained to arrays and strings. It is advisable to practice more with array and string manipulation.
It was an elimination round, and the assigned topic was ChatGPT. We discussed it for 30 minutes.
ETL stands for Extract, Transform, Load. It is a process used to extract data from various sources, transform it into a consistent format, and load it into a target database.
Extract: Data is extracted from different sources such as databases, files, APIs, etc.
Transform: Data is cleaned, validated, and transformed into a consistent format suitable for analysis.
Load: The transformed data is loaded into a target database ...
Python SQL code and objectives will come
I applied via Job Fair and was interviewed in Sep 2023. There was 1 interview round.
I delivered more than expected by implementing a new machine learning algorithm that significantly improved model accuracy.
Identified the need for a more advanced algorithm based on data analysis
Researched and implemented a cutting-edge machine learning algorithm
Tested the new algorithm on a sample dataset and compared results with existing models
Achieved a significant increase in model accuracy, exceeding initial expe
I applied via Recruitment Consulltant and was interviewed in Dec 2023. There was 1 interview round.
I applied via Campus Placement and was interviewed before May 2022. There were 4 interview rounds.
Test based on Python Programming nomenclatures and statistical concepts.
One topic to discuss based on latest in technology. For example Impact of AI on human jobs
Naive Bayes Algorithm is a simple probabilistic classifier based on Bayes' theorem with strong independence assumptions.
It is based on the assumption that the presence of a particular feature in a class is unrelated to the presence of any other feature.
It calculates the probability of each class given a set of input features and selects the class with the highest probability.
Commonly used in text classification, spam f...
Logistic Regression is a statistical method used to model the probability of a binary outcome.
Logistic Regression is used when the dependent variable is binary (e.g., 0 or 1, Yes or No).
It estimates the probability that a given input belongs to a certain category.
Assumptions of linear regression include linearity, independence of errors, homoscedasticity, and normality of errors.
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