May 2015 – Jul 2015 · 2 mos · Helsinki Area, Finland

• Worked with the Data Mining Group led by Dr. Aristides Gionis on solving the problem of Event Detection in Time Varying Networks.
• • Modeled the problem of event detection in temporal networks, where time series data is available for node activity.
• • Designed randomized approximation algorithms to solve the NP-hard problem resulting from the modeling, giving proofs for performance guarantees and time complexities.
• • Implemented the algorithms in Python and tested their performance over multiple datasets, for empirical validation of the proposed model.

May 2014 – Jul 2014 · 2 mos · Los Angeles Metropolitan Area

• Worked with Dr. Kristina Lerman at the Intelligent Systems Division of the Information Sciences Institute on understanding the Structural Properties of Ego Networks.
• • Theoretically derived the relationships between the global and local level structural attributes of social networks, studying degree distribution, degree assortativity, and clustering coefficient.
• • Empirically analyzed large real world datasets to validate the theoretical claims, using Python's SNAP graph mining library.

May 2013 – Jul 2013 · 2 mos · Bengaluru, Karnataka, India

• Worked on Android Application Development at a mobile startup funded by Cisco and Accel Partners.
• • Developed an app for a prominent newspaper, the Deccan Herald, to display articles fetched from its RSS feed.
• • Automated testing of the app across a variety of devices to ensure compatibility, using the Robotium framework.