Hello Everyone,
I am Ayush Mishra, third year computer science student at IIIT Hyderabad. I am specifically interested in the project of analyzing usage statistics.
I am quite inclined towards data mining, I have done many projects that involved data mining techniques. I am also a research student and my current research topic is to cluster commits for better detection of logical coupling. I am proficient with most data mining algorithms, have implemented myself and used many of them (python libraries scikit, and mlpack in c++) for academic and research purposes. Apart from academics and research, I use such techniques where ever I find them applicable, for instance I had made a grouping plugin which would cluster similar posts in your news feed [facebook] as a topic. As sometimes, we have repetitive posts in our news feeds, like result of football matches, some popular video shared by a lot of people etc.
I had also used D3.js [ A JavaScript visualization library for HTML and SVG ] in a project I created for visualizing friends graph at Facebook till level 2 [ Used Facebook's Graph API ]. The experience with D3.js should be useful for visualizing and displaying data.
I was interviewed for Software Engineering Intern position at Google for Summer 2016, cleared both the initial technical interviews ( one of them involved data mining ), but sadly they couldn't find a project for me this year (they will directly find a project for me next year, no technical interviews). My plans for this summer were shattered with the closing of project matching for this year, but I was introduced to Google Summer of Code by my recruiting contact at Google.
I hope my experience should be enough for the project.
Just posted this to introduce myself to the community and to mark my interest towards the project.
From a previous thread, I understood what the project is about, so I won't ask those questions again.
Currently, I am reading some research papers for better representation of data and on my proposal.
I will be adding my proposal here for review tomorrow!
Cheers!