This 17-year-old boy created a machine learning model to suggest potential drugs for Covid-19 – India Today

In keeping with its tradition of high excellence and achievements, Greenwood High International School's student Tarun Paparaju of Class 12 has achieved the 'Grand Master' level in kernels, the highest accreditation in Kaggle, holding a rank of 13 out of 118,024 Kagglers worldwide. Kaggle is the world's largest online community for Data Science and Artificial Intelligence.

There are only 20 Kernel Grandmasters out of the three million users on Kaggle worldwide, and Tarun, aged 17 years, is honored to be one of the 20 Kernel Grandmasters now. Users of Kaggle are placed at different levels based on the quality and accuracy of their solutions to real-world artificial intelligence problems. The five levels in ascending order are Novice, Contributor, Expert, Master, and Grandmaster.

Kaggle hosts several data science competitions and contestants are challenged to find solutions to these real-world challenges. Kernels are a medium through which Kagglers share their code and insights on how to solve the problem.

These kernels include in-depth data analysis, visualisation, and machine learning, usually written in Python or R programming language. Other Kagglers can up vote a kernel if they believe it provides useful insights or solves the problem. 'Kernels Grandmaster' title at Kaggle requires 15 kernels qualified with gold medals.

Tarun's passion for Calculus, Mathematical modeling, and Data science from a very young age got him interested in participating and contributing to the Kaggle community.

He loves solving real-world Data Science problems, especially in the areas based on Deep learning: Natural language processing, Signal processing. Tarun is an open-source contributor to Keras, a Deep learning framework.

He has proposed and added Capsule NN layer support to Keras framework. He writes blogs about his adventures and learnings in data science.

Now, he closely works with the Kaggle community and aspires to be a scholar in the area of Natural language processing. Additionally, he loves playing cricket and football. Sports is a large part of his life outside Data science and academics.

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This 17-year-old boy created a machine learning model to suggest potential drugs for Covid-19 - India Today