Name: ML for mapping skills to jobs
Start: 2016-10-22T11:00:00+05:30
End: 2016-10-22T12:30:00+05:30
Location: Aspiring Minds

Abstract:

Mapping a person's skills to the right job is a problem of great relevance today. Can one cast this as a problem in machine learning, though? How does one take such real-world problems and frame it as a problem in machine learning? What are some of the challenges in doing so? On successfully deploying such technology, what can one learn from all the data that's collected about people's skills?

These are questions that we shall explore answers to in this talk.

We will look under the hood of software products developed by Aspiring Minds. Aspiring Minds uses technology to quantify skills to efficiently map people to the right jobs. The science behind the technology is developed by an in-house research lab. The lab's work has been shipped out in multiple products which several million students interact with today. We've published this work in top-tier conferences such as KDD, ACL, NIPS and more. We also manage other fun projects like http://ml-india.org (http://ml-india.org/) and http://datasciencekids.org (http://datasciencekids.org/)

The talk will draw from the following work:

- A system to grade computer programming skills using machine learning.", S. Srikant and V. Aggarwal, KDD 2014

- Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd.", V. Shashidhar, N. Pandey, V. Aggarwal, ACL 2015

- Learning Models for Personalized Educational Feedback and Job Selection", V. Shashidhar, S. Srikant, V. Aggarwal, Machine Learning for Education, Workshop at ICML 2015

- http://research.aspiringminds.com/whitepaper-automated-assessments/

To find out more on our work, visit http://research.aspiringminds.com/

Author details:

Shashank's a senior research engineer at Aspiring Minds' research lab. His key work there has been in developing and leading automated programming evaluation products. He has developed algorithms for performance assessment, maintainability and semantic assessment of software code. He has filed 3 patents and his work has been published at KDD and NIPS.

He likes to be engaged in computer science/mathematics education and pedagogy formulation. He also leads research collaborations at Aspiring Minds.

Webpage: https://shashank-srikant.github.io/

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