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I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.
Python and sql based questions
I applied via Referral and was interviewed before Aug 2022. There were 3 interview rounds.
Retail case study, with soft skills is required for this round
I applied via Naukri.com and was interviewed in Nov 2021. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Jan 2024. There were 4 interview rounds.
Case Study was related to customer propensity to buy.
Linear regression assumptions include linearity, independence, homoscedasticity, and normality.
Assumption of linearity: The relationship between the independent and dependent variables is linear.
Assumption of independence: The residuals are independent of each other.
Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Assumption of normality: The resid...
VIF is a measure of multicollinearity in regression analysis, indicating how much the variance of an estimated regression coefficient is increased due to collinearity.
VIF values greater than 10 indicate high multicollinearity
VIF is calculated for each predictor variable in a regression model
VIF is calculated as 1 / (1 - R^2) where R^2 is the coefficient of determination from regressing a predictor on all other predicto
I am impressed by your company's innovative projects and collaborative work culture.
I admire the company's commitment to cutting-edge technology and data-driven solutions.
I am excited about the opportunity to work with a talented team of data scientists and researchers.
Your company's reputation for fostering a collaborative and inclusive work environment is appealing to me.
Array-based question
XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.
XGBoost stands for eXtreme Gradient Boosting.
It is an implementation of gradient boosted decision trees designed for speed and performance.
XGBoost is widely used in machine learning competitions and real-world applications.
It can handle missing data, regularization, and parallel processing efficiently.
XGBoost ...
Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree in the forest makes a prediction, and the final prediction is the average or majority vote of all trees.
Random forest is used for classification and regression tasks.
It helps reduce overfitting and ...
Sequence to sequence models are used in natural language processing to convert input sequences into output sequences.
Sequence to sequence models are commonly used in machine translation tasks, where the input is a sentence in one language and the output is the translated sentence in another language.
Transformers are a type of sequence to sequence model that use self-attention mechanisms to weigh the importance of diffe...
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Bias and variance are two types of errors that can occur in a model.
Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.
Variance refers to the error introduced by modeling the noise in the training data, leading to overfitting.
Balancing bias and variance is crucial for creating a model that generalizes well to unseen data.
I applied via Walk-in and was interviewed in Feb 2023. There were 3 interview rounds.
I am a highly motivated and detail-oriented individual with a strong background in data analysis and problem-solving.
Proficient in data manipulation and analysis using tools like Excel, SQL, and Python.
Experienced in conducting statistical analysis and creating data visualizations.
Strong problem-solving skills with the ability to identify patterns and trends in data.
Excellent communication skills, both written and verb...
I am a highly motivated and detail-oriented individual with a strong background in finance and accounting.
Bachelor's degree in Finance
3 years of experience in financial analysis
Proficient in financial modeling and forecasting
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Knowledge and skills refer to the understanding and abilities that an individual possesses.
Knowledge is the theoretical understanding of a subject or topic.
Skills are the practical abilities to perform tasks or apply knowledge.
Knowledge can be acquired through education, training, or experience.
Skills are developed through practice and hands-on experience.
Examples of knowledge include understanding of programming langu...
Qualification refers to the education, skills, and experience required for a particular job or role.
Qualification includes academic degrees, certifications, and relevant work experience.
It demonstrates the candidate's knowledge, expertise, and ability to perform the job.
Examples of qualifications can be a Bachelor's degree in Computer Science, a certification in project management, or 5 years of experience in marketing...
Bangalore is a bustling city in southern India known for its IT industry and pleasant climate.
Known as the Silicon Valley of India
Home to numerous IT companies such as Infosys, Wipro, and TCS
Famous for its gardens and parks, including Lalbagh and Cubbon Park
Has a rich cultural heritage, with landmarks such as the Bangalore Palace and Tipu Sultan's Summer Palace
Renowned for its food, with local specialties such as masal
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