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Intelligent matching algorithm to provide meaningul profile matches to Internshala users using machine learning.

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DateYourDataHackathon (Sponsored by Internshala) Position : 108/2105

Problem Statement

Welcome to "Date Your Data"! We are excited to have you here. While you have found your date, we couldn't help but find a problem around matching!

Remember the excitement and nervousness when you went for work for the first time? Internship is certainly one of the most cherished moments for most of us. This weekend, we have a sponsor who help students as well as businesses meet each other and give students their first exposure to work - Internshala. The data science team at Internshala have worked with Analytics Vidhya to create this problem and release it to the community.

About Internshala

Internshala (http://internshala.com/) is India's no.1 internship platform with a simple mission - a culture of meaningful internships. Started in 2011, Internshala today helps 750,000 students and 20,000 businesses find each other for internships. The platform is free of cost both for students and companies.

The founding team of Internshala comes from data science background and are very excited at the opportunity of engaging the community of fellow scientists through this contest. We sincerely hope you like the challenge and discover solutions that helps them in providing a better User Experience and gets them closer to their mission of a culture of meaningful internships.

About the problem

In this problem, we have provided information about various internships posted on Internshala. This includes various attributes about the internships like location, duration, start_date of internship etc. We have also provided information about the students who have applied for the internship. These include type_of_institute, current_year, academic performance of the student etc. Any student is free to apply for any internship on the portal.

While employers get high response to their posting, it is difficult to go through a high number of applications for the employers. They might need to go through high number of applications to shortlist the most relevant candidates. Hence an intelligent matching algorithm can help our users get better experience and enhance chances ofmeaningful profile matches.

Description of the files

Internship.csv includes the details of all the internships posted on Internshala. These details are filled by the company floating the Internship. Each row represents one internship. Student.csv includes details of the students applying for the internship. These details have been filled by the student. Each row represents an experience of the student. In case the student has not filled any experience, there would be only one row containing details of student. test.csv & train.csv include the application details (as applied by student) and the shortlist outcome

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Intelligent matching algorithm to provide meaningul profile matches to Internshala users using machine learning.

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