Salary Profiles
Company
Title
Experience
Annual Salary
School
Skills
4.4yrs

Base: ₹29.6lakhs

Stocks: -

Bonus: ₹5.7lakhs

CTC:₹35.3lakhs

4yrs

Base: ₹27.1lakhs

Stocks: -

Bonus: ₹5.7lakhs

CTC:₹32.8lakhs

Epsilon
Bengaluru
2.7yrs

Base: ₹12.6lakhs

Stocks: -

Bonus: -

CTC:₹12.6lakhs

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Frequently asked questions
How much do Propensity Modelling employees make?

Employees who know Propensity Modelling earn an average of ₹26.9lakhs, mostly ranging from ₹26.7lakhs per year to ₹35.2lakhs per year based on 3 profiles. The top 10% of employees earn more than ₹34.7lakhs per year.

What is the average salary of Propensity Modelling?

Average salary of an employee who know Propensity Modelling is ₹26.9lakhs.

What is the median salary offered who know Propensity Modelling?

The median salary approximately calculated from salary profiles measured so far is ₹32.8lakhs per year.

How is the age distributed among employees who know Propensity Modelling?

This group has a predominantly younger workforce. 100% of employees lie between 21-26 yrs .

Frequently asked questions
How much do Propensity Modelling employees make?

Employees who know Propensity Modelling earn an average of ₹26.9lakhs, mostly ranging from ₹26.7lakhs per year to ₹35.2lakhs per year based on 3 profiles. The top 10% of employees earn more than ₹34.7lakhs per year.

What is the average salary of Propensity Modelling?

Average salary of an employee who know Propensity Modelling is ₹26.9lakhs.

What is the median salary offered who know Propensity Modelling?

The median salary approximately calculated from salary profiles measured so far is ₹32.8lakhs per year.

How is the age distributed among employees who know Propensity Modelling?

This group has a predominantly younger workforce. 100% of employees lie between 21-26 yrs .

Salary Brackets
Percentage
10-20 lakhs 10-20 lakhs
Percentage : 33
30-40 lakhs 30-40 lakhs
Percentage : 67
Age Brackets
Percentage
21-26 yrs 21-26 yrs
Percentage : 100
Skills
Trending
data cleaning
100 %
data visualization
0 %
propensity modelling
0 %
anomaly detection
0 %
data modeling
0 %
data preparation
0 %
decision trees
0 %
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