Clustering Salaries
70 verified profilesAverage salary is ₹20.1lakhs.
Employees who know Clustering earn an average of ₹20.1lakhs, mostly ranging from ₹16.0lakhs to ₹39.2lakhs based on 70 profiles.
| 👨💻 Male | ₹23lakhs Male Average Salary : ₹ 23 lakhs |
|---|---|
| 👩💻 Female | ₹28lakhs Female Average Salary : ₹ 28 lakhs |
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How much do Clustering employees make?
Employees who know Clustering earn an average of ₹20.1lakhs, mostly ranging from ₹16.0lakhs per year to ₹39.2lakhs per year based on 70 profiles. The top 10% of employees earn more than ₹32.0lakhs per year.
What is the average salary of Clustering?
Average salary of an employee who know Clustering is ₹20.1lakhs.
What is the highest salary offered who know Clustering?
Highest reported salary offered who know Clustering is ₹39.8lakhs. The top 10% of employees earn more than ₹32.0lakhs per year. The top 1% earn more than a whopping ₹39.2lakhs per year.
What are the most common skills required who know Clustering?
100% of employees have skills in clustering . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Clustering?
The top 5 highest paying jobs who know Clustering with reported salaries are:
assistant vice president - ₹29.0lakhs per year
senior data scientist - ₹27.0lakhs per year
senior manager - ₹26.0lakhs per year
machine learning engineer - ₹24.0lakhs per year
data scientist - ₹17.0lakhs per year
What is the median salary offered who know Clustering?
The median salary approximately calculated from salary profiles measured so far is ₹18.0lakhs per year.
How is the age distributed among employees who know Clustering?
41% of employees lie between 26-31 yrs . 36% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Clustering?
3% hold a Graduate degree. 1% hold a PostGraduate degree.
Which schools do employees working who know Clustering went to?
7% of employees studied at Uttar Pradesh Technical University (UPTU) . 6% studied at Indian Institute of Technology (IIT) .
How much do Clustering employees make?
Employees who know Clustering earn an average of ₹20.1lakhs, mostly ranging from ₹16.0lakhs per year to ₹39.2lakhs per year based on 70 profiles. The top 10% of employees earn more than ₹32.0lakhs per year.
What is the average salary of Clustering?
Average salary of an employee who know Clustering is ₹20.1lakhs.
What is the highest salary offered who know Clustering?
Highest reported salary offered who know Clustering is ₹39.8lakhs. The top 10% of employees earn more than ₹32.0lakhs per year. The top 1% earn more than a whopping ₹39.2lakhs per year.
What are the most common skills required who know Clustering?
100% of employees have skills in clustering . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Clustering?
The top 5 highest paying jobs who know Clustering with reported salaries are:
assistant vice president - ₹29.0lakhs per year
senior data scientist - ₹27.0lakhs per year
senior manager - ₹26.0lakhs per year
machine learning engineer - ₹24.0lakhs per year
data scientist - ₹17.0lakhs per year
What is the median salary offered who know Clustering?
The median salary approximately calculated from salary profiles measured so far is ₹18.0lakhs per year.
How is the age distributed among employees who know Clustering?
41% of employees lie between 26-31 yrs . 36% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Clustering?
3% hold a Graduate degree. 1% hold a PostGraduate degree.
Which schools do employees working who know Clustering went to?
7% of employees studied at Uttar Pradesh Technical University (UPTU) . 6% studied at Indian Institute of Technology (IIT) .
| 10-20 lakhs | 10-20 lakhs Percentage : 59 |
|---|---|
| 20-30 lakhs | 20-30 lakhs Percentage : 24 |
| 30-40 lakhs | 30-40 lakhs Percentage : 17 |
| 21-26 yrs | 21-26 yrs Percentage : 10 |
|---|---|
| 26-31 yrs | 26-31 yrs Percentage : 41 |
| 31-36 yrs | 31-36 yrs Percentage : 36 |
| 36-41 yrs | 36-41 yrs Percentage : 11 |
| > 41 yrs | > 41 yrs Percentage : 1 |
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