Classification Salaries
31 verified profilesAverage salary is ₹28.6lakhs.
Employees who know Classification earn an average of ₹28.6lakhs, mostly ranging from ₹19.8lakhs to ₹95.9lakhs based on 31 profiles.
| 👨💻 Male | ₹37lakhs Male Average Salary : ₹ 37 lakhs |
|---|---|
| 👩💻 Female | ₹26lakhs Female Average Salary : ₹ 26 lakhs |
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How much do Classification employees make?
Employees who know Classification earn an average of ₹28.6lakhs, mostly ranging from ₹19.8lakhs per year to ₹95.9lakhs per year based on 31 profiles. The top 10% of employees earn more than ₹40.5lakhs per year.
What is the average salary of Classification?
Average salary of an employee who know Classification is ₹28.6lakhs.
What is the highest salary offered who know Classification?
Highest reported salary offered who know Classification is ₹107.4lakhs. The top 10% of employees earn more than ₹40.5lakhs per year. The top 1% earn more than a whopping ₹95.9lakhs per year.
What are the most common skills required who know Classification?
100% of employees have skills in classification . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Classification?
The top 5 highest paying jobs who know Classification with reported salaries are:
data scientist - ₹37.0lakhs per year
machine learning engineer - ₹27.0lakhs per year
senior data scientist - ₹25.0lakhs per year
senior data analyst - ₹21.0lakhs per year
consultant - ₹16.0lakhs per year
What is the median salary offered who know Classification?
The median salary approximately calculated from salary profiles measured so far is ₹25.4lakhs per year.
How is the age distributed among employees who know Classification?
39% of employees lie between 26-31 yrs . 26% of the employees fall in the age group of 36-41 yrs .
What qualifications do employees have who know Classification?
13% hold a PostGraduate degree.
Which schools do employees working who know Classification went to?
10% of employees studied at Vellore Institute of Technology . 6% studied at Indian Institute of Technology .
How much do Classification employees make?
Employees who know Classification earn an average of ₹28.6lakhs, mostly ranging from ₹19.8lakhs per year to ₹95.9lakhs per year based on 31 profiles. The top 10% of employees earn more than ₹40.5lakhs per year.
What is the average salary of Classification?
Average salary of an employee who know Classification is ₹28.6lakhs.
What is the highest salary offered who know Classification?
Highest reported salary offered who know Classification is ₹107.4lakhs. The top 10% of employees earn more than ₹40.5lakhs per year. The top 1% earn more than a whopping ₹95.9lakhs per year.
What are the most common skills required who know Classification?
100% of employees have skills in classification . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Classification?
The top 5 highest paying jobs who know Classification with reported salaries are:
data scientist - ₹37.0lakhs per year
machine learning engineer - ₹27.0lakhs per year
senior data scientist - ₹25.0lakhs per year
senior data analyst - ₹21.0lakhs per year
consultant - ₹16.0lakhs per year
What is the median salary offered who know Classification?
The median salary approximately calculated from salary profiles measured so far is ₹25.4lakhs per year.
How is the age distributed among employees who know Classification?
39% of employees lie between 26-31 yrs . 26% of the employees fall in the age group of 36-41 yrs .
What qualifications do employees have who know Classification?
13% hold a PostGraduate degree.
Which schools do employees working who know Classification went to?
10% of employees studied at Vellore Institute of Technology . 6% studied at Indian Institute of Technology .
| 10-20 lakhs | 10-20 lakhs Percentage : 35 |
|---|---|
| 20-30 lakhs | 20-30 lakhs Percentage : 29 |
| 30-40 lakhs | 30-40 lakhs Percentage : 23 |
| 40-50 lakhs | 40-50 lakhs Percentage : 6 |
| > 50 lakhs | > 50 lakhs Percentage : 6 |
| 21-26 yrs | 21-26 yrs Percentage : 6 |
|---|---|
| 26-31 yrs | 26-31 yrs Percentage : 39 |
| 31-36 yrs | 31-36 yrs Percentage : 23 |
| 36-41 yrs | 36-41 yrs Percentage : 26 |
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