Prediction of Salary from Profiles

-Sohom Ghosh

WEST BENGAL STATE SCIENCE AND TECHNOLOGY CONGRESS 2016 DATES :– 28th & 29th FEBRUARY, 2016 VENUE :– PRESIDENCY UNIVERSITY

DEPARTMENT :- COMPUTER SCIENCE

Motivation ( )

• Using Machine Learning to predict salaries that persons are likely to get by analyzing their profiles.

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Why? ( ?)

• Negotiation for Salary ()

• Professional Training Institutes ( )

• Human Resource Department of Organizations (

)

• Recommendation to improve profile for drawing more salary (

)

Dataset & Features ( )

• Aspiring Minds’ Employment Outcomes 2015 dataset • Job seekers’ personal information (like gender, date of

birth etc.) • Pre-university information (like high school grades) • University information (like grade point, stream of

graduation, college reputation) • Demographic information (like college location) • Scores obtained in AMCAT's quantitative ability English

and logical reasoning section • Student’s first job location, designation and annual

salary

Implementation ( )

Raw Data

Implementation ( )

Raw Data Cleaning &

Preprocessing

• Replace Trivial Information like Student Id, DOB

• Categorical variables to numeric

• Feature Selection & Feature Engineering

Implementation ( )

Raw Data Cleaning &

Preprocessing Training &

Testing

• Decision Tree Regressor

• Logistic Regression

Implementation ( )

Raw Data Cleaning &

Preprocessing Training &

Testing

Validation

Discussions ( )

• The city in which a candidate is residing also impacts his salary

• Candidates from circuit related streams like Computer Science, Information Technology & Electronics draws more salary than core streams like Civil, Mechanical etc.

• Candidate’s score in English and his college gpa are largely responsible for his salary

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•

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Stream VS Salary

City VS Salary

English Score VS Salary

College GPA VS Salary

Future Works & Improvements

• Recommender System which will help the students in standardizing their profile thereby assisting them to draw better salaries

• |

• Tableau (http://www.tableau.com/)

• Scikit Learn, Python (http://scikit-learn.org/)

• Aspiring Minds (http://www.aspiringminds.com/)

• http://ikdd.acm.org/Site/CoDS2016/downloaddataset.html

References ( )

Thanks!!! For Being Patient

Question and Answer( )