TODEM (Tender Offer Data Extraction Model)

2025 · 2025 Competition

School: School of Computer and Information Sciences
Category: Corporate SponsoredPrimary

Project Overview

One Liner: Ingest and extract data from FICA Tender Offer documents.

Abstract

Extracting and parsing tender offer data from unstructured formats to identify and process relevant fields for corporate action data. This microservice uses data extraction, machine learning, and natural language processing to automate the extraction and parsing of tender offer data from unstructured documents to assist in corporate action processing.

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Team Members

Jackson Heiney
Jackson Heiney
Lead
Michael Le
Michael Le
Harshil Thakur
Harshil Thakur
Humaiz Akbar
Humaiz Akbar
Jake Dreher
Diego Berrones
Diego Berrones

Advisors

Jeff Salvage
Jeff Salvage