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Marketing Management Analytics
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R square is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.
R square is also known as the coefficient of determination.
It ranges from 0 to 1, with 1 indicating a perfect fit.
It is used to evaluate the goodness of fit of a regression model.
Higher R square values indicate that the model explains a larger proportion of the variance i...
Model fit can be checked using various statistical measures and techniques.
Check goodness of fit statistics like R-squared, AIC, BIC
Analyze residuals to ensure they are normally distributed and homoscedastic
Use diagnostic plots like QQ plots, residual plots, and leverage plots
Perform cross-validation to assess model performance on unseen data
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Based on Scenarios find solution to business problem
I applied via Naukri.com and was interviewed in Jan 2021. There were 5 interview rounds.
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Jul 2024. There were 2 interview rounds.
posted on 18 Dec 2023
I applied via campus placement at National Institute of Technology (NIT), Tiruchirappalli and was interviewed in Jun 2023. There were 2 interview rounds.
JIT manufacturing, or Just-in-Time manufacturing, is a production strategy that focuses on producing goods or services at the exact time they are needed.
JIT manufacturing aims to minimize inventory and reduce waste by producing goods only when they are required.
It relies on accurate demand forecasting and efficient supply chain management.
By implementing JIT manufacturing, companies can save costs associated with exces...
I have always been fascinated by the intricate workings of the financial banking industry.
I am drawn to the complexity and challenges of analyzing financial data.
I find the impact of financial decisions on businesses and individuals intriguing.
I enjoy working with numbers and using data to uncover insights and make informed decisions.
I appreciate the stability and growth opportunities that the financial banking sector ...
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There was 1 interview round.
Partitioning is the process of dividing a large dataset into smaller, more manageable parts based on certain criteria.
Partitioning helps in improving query performance by reducing the amount of data that needs to be processed.
It can be done based on ranges, hash values, or specific columns in the dataset.
For example, partitioning a sales dataset by date can help in quickly retrieving sales data for a specific time peri
I have experience working with cloud warehouses such as Amazon Redshift and Google BigQuery.
Utilized Amazon Redshift to store and analyze large datasets for a retail company
Implemented ETL processes in Google BigQuery to transform and load data for a marketing campaign analysis
Optimized queries in Snowflake to improve performance for a financial services client
I applied via Campus Placement and was interviewed in Feb 2022. There was 1 interview round.
I applied via Naukri.com and was interviewed in Oct 2020. There were 5 interview rounds.
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R.R. Donnelley
Iris Software