The "Fraud Squad": Winners of the Visa Commerce Solutions Hackathon 2018 at Visa for building a model to predict fraud in Visa's card-linked-offer (CLO) transactions using machine learning.
For building Raptor
-- A Network Tool for Mitigating the Impact of Spatially
Correlated Failures in Infrastructure Networks, Arun Das, Arunabha
Sen, Chunming Qiao, Nasir Ghani, and Nathalie Mitton.
Published in the Annals of Telecommunications, 2018. Full text of the paper is here.
Won an Apple iWatch S3 :)
For the paper "Fraud Detection for Visa’s Card-Linked Offers:
Challenges and Opportunities", Arun Das, Ashay Verma, Ashwin Mathur.
Published in the proceedings of iCube 2017, an annual global technology conference internal to Visa Inc. Held in Foster City, California, USA.
As a team, followed the Lean Startup methodology to validate and
develop StudentGig, the Student-to-Student Marketplace app. Won
$1K of seed funding and placed 1st out of 12 teams.
Featured as one of the upcoming student startup teams of Arizona State University’s Fulton Schools of Engineering in 2015.
For the paper "Region based Fault-tolerant Distributed
File Storage System Design Under Budget Constraint", Anisha
Mazumder, Arun Das, Chenyang Zhou, and Arunabha Sen.
Published in the proceedings of the International Workshop on Reliable Networks Design and Modeling (RNDM) IEEE, 2014.