Extended Spark Machine Learning Library by implementing optimization algorithms such as AdaGrad. Additionally, worked on connecting user actions across different devices they own using the ICDM 2015 Kaggle Challenge dataset. Currently, working on predicting the next action of a user on a mobile device using the Device Analyzer Dataset by University of Cambridge.
Developed a Collaborative Workbench for real time analysis and visualization using d3 library of various types of data such as car sensor data.
Developed an android based mobile application that enabled a user to build work-flows and define a process using symbols customized for each domain.
Worked as a Teaching Assistant for Design and Analysis of Algorithms (CSE 40113) and Basic Unix for Engineers (CSE 20189). Duties included conducting tutorials and office hours and grading examinations and home assignments.
Worked as a Teaching Assistant for Theory of Computation (CSE322). Duties included conducting tutorials and office hours and grading examinations and home assignments.
Python, C, C++, C#, Java, R, MATLAB, PHP, JavaScript, SQL
Spark, Hadoop, Condor, Latex, Weka, Android SDK, Twitter API