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deekshaarya4/README.md

Biography

Deeksha Arya is a PhD student in The McGill Software Technology Lab in the Computer Science department at McGill University. She is supervised by Professors Jin Guo and Martin Robillard. Her research focuses on the software documentation landscape and its role in the education of computer science. She is also interested in the meaningful application of natural language processing and machine learning in software engineering research to help programmers learn software technologies.

In 2019, Deeksha completed her M.Sc. in Computer Science at McGill University. In her thesis, she studied the information correspondence between API reference documentation and tutorials, to provide insight on the complementary content in different documentation types.

Prior to this, Deeksha worked for three years at Infibeam.com, after having received her B.E. in Information Science from M.S. Ramaiah Institute of Technology.

Deeksha is also a professional Indian classical dancer, having trained in Bharatanatyam for over 20 years and in Mohiniattam for seven. She also loves to travel, and her weekends are packed with dance and destinations.

Connect with her:

Email: firstname.lastname@mail.mcgill.ca

Twitter: @DeekshaMArya

Popular repositories

  1. Info_Types_in_OSS_Issue_Discussions Info_Types_in_OSS_Issue_Discussions Public

    Data, Code and Results from the ICSE 2019 accepted paper: Analysis and Detection of Information Types of Open Source Software Issue Discussions

    Jupyter Notebook 12 2

  2. nodejs-express-mongoose-demo nodejs-express-mongoose-demo Public

    Forked from madhums/node-express-mongoose-demo

    A simple demo app in node.js using express, mongoose, passport.js and jade for beignners

    JavaScript

  3. node-beginners node-beginners Public

    A simple nodejs-express-mongoose-jade app which implements CRUD operations on a db

    CSS 1

  4. myroundcube myroundcube Public

    Automatically exported from code.google.com/p/myroundcube

    PHP

  5. reproduced-post-training reproduced-post-training Public

  6. Post_training Post_training Public

    Forked from tomMoral/Post_training

    Reproducible figures for "Post Training in Deep Learning"

    Python