Bloomberg Capturing Rich Market Data
2025 · 2025 Competition
Category: Corporate Sponsored
Project Overview
One Liner: Our project automates key insight extraction in Listed Derivatives, boosting data ingestion efficiency and client-facing data quality for Bloomberg.
Abstract
Our project aims to automate the extraction of key insights from unstructured exchange memos in the Listed Derivatives space. By developing extraction models, we aim to streamline data ingestion, enhance efficiency, and improve the quality of client-facing market data for Bloomberg’s Futures & Options business.
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Team Members
Abe Jeyapratap
abe.jeyapratap@drexel.edu
Hieu Dang
hieu.minh.dang@drexel.edu
Alex Zavalny
alex.zavalny@drexel.edu
Alyque Farishta
alyque.farishta@drexel.edu
Matt Tylek
matt.tylek@drexel.edu
Shehryar Usman
shehryar.usman@drexel.edu
Mihir Rao
mihir.rao@drexel.edu
Team Lead
Shehryar Usman
shehryar.usman@drexel.edu
Advisors
Jeff Salvage
jeff.k.salvage@drexel.edu