Hi, I'm Aditya

I'm currently doing my PhD at the Computational Data Science department (formerly Supercomputer Education and Research Centre) Indian Institute of Science. Working under professor Soumyendu Raha in the Scientific Computation Lab.

Projects

This project done in R, is part of my Stats202 class which I took when I went to Stanford university in the Summer of 2016. The objective was to determine if a query was relevant (yes/no) to a webpage given 10 signals. The models used was Naive Bayes, Bagging, Random Forest, KNN, Support Vector Machine and Boosting. The project focused more on preprocessing and data selection/transformation.

Binary Classifier

I wrote my own code and took a presentation on how the naive bayes classifier works using the Iris flower data set. Basics of probability theory were also covered.

Gaussian Naive Bayes classifier

About me

I can keep talking with you on topics that fascinate me; like science, philosophy and mathematics. I like sweets. A lot. I am open minded to the point of naivety. I have been working (unsuccessfully) on improving my handwriting for the past 8 years. You can message me and will find that I am an open book, ask any question without fear of offending me.

Few of the things that I love to tell people about is the Research Debt, how awesome the stackexchange sites are, how we need to talk about meaningful electoral reform, how 3b1b is just at the God tier!! I am unashamedly a fanboy.

We have to look beyond using just plain text and images to disseminate knowledge. I think explorable explanations is the future. Some examples you can check out are quaternions, algorithms, and Evolution of Trust. Look just go find a topic you like here and please spread the word!

Get in touch

Say Hi or find me on other platforms: Telegram & Whatsapp.

You can find more projects I am working on by checking my Github profile out.

I also publish blog posts on Ghost, I'd love your thoughts on them.