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I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.
Encountered a data discrepancy while analyzing sales data
Discovered inconsistencies in sales figures between different data sources
Investigated the issue by cross-referencing data and identifying the source of the discrepancy
Resolved the problem by updating the incorrect data and ensuring consistency across all sources
A p value is a measure of the strength of evidence against the null hypothesis in a statistical hypothesis test.
P value is a probability value that measures the likelihood of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.
A p value less than 0.05 is typically considered statistically significant, indicating strong evidence against the null hypothesis.
A p value greate...
Basic regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.
Regression helps in predicting the value of the dependent variable based on the values of independent variables.
It is used to understand the strength and direction of the relationship between variables.
Common types of regression include linear regression, logistic regression, and
I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.
Describe a problem you encountered working with your data and how you resolved it
A p value is a measure of the strength of evidence against the null hypothesis in a statistical hypothesis test.
P value is a probability value that measures the likelihood of obtaining the observed data if the null hypothesis is true.
A p value less than 0.05 is typically considered statistically significant, indicating strong evidence against the null hypothesis.
A p value greater than 0.05 suggests that the observed da...
Basic regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.
Regression analysis is used to predict the value of the dependent variable based on the values of the independent variables.
The most common type of regression is linear regression, where a straight line is used to model the relationship between variables.
Other types of regression ...
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I applied via Job Portal and was interviewed in Apr 2021. There were 5 interview rounds.
Factors considered for predicting customer churn
Customer behavior and usage patterns
Customer demographics and characteristics
Customer feedback and satisfaction levels
Competitive landscape and market trends
Product or service quality and reliability
Pricing and promotions
Customer service and support
Contract terms and renewal dates
A mall's daily revenue depends on various factors such as location, size, footfall, and tenant mix.
The location of the mall plays a crucial role in determining its daily revenue.
The size of the mall also affects the revenue as larger malls tend to have more tenants and footfall.
The footfall in the mall is directly proportional to the revenue generated.
The tenant mix is another important factor as high-end stores tend t...
I applied via Campus Placement and was interviewed before May 2020. There were 4 interview rounds.
I applied via Job Portal and was interviewed before Jun 2020. There were 3 interview rounds.
I applied via Walk-in and was interviewed before Oct 2020. There was 1 interview round.
I applied via Walk-in and was interviewed before Nov 2019. There was 1 interview round.
I appeared for an interview before Jun 2016.
I appeared for an interview in Dec 2016.
based on 2 interviews
Interview experience
Cognizant
WNS
Capita
Gallagher