Merger & Acquisition Outcome Prediction (GY - ONLY)

VIP graphic with a ladder as the right-half of the V in purple and green

This project is intended to predict the success of an M&A action by Machine Learning. The research team will analyze the M&A process, collect appropriate data, and build machine learning models to predict the success of the action. The goal of this project is to build a successful pipeline that can be utilized by companies who are looking for M&A opportunities by publicly released data to evaluate their outcome.

Research, Design, or Technical Issues Involved or Addressed

  • Research and Design

    • Features to use and the source of data

    • Appropriate models to use and compare their result

    • Building the application on a cloud platform (AWS)

  • Technical Issues Involved

    • Explanatory data analysis

    • Data fetching

    • Machine learning pipeline building

    • Cloud platform application building

    • UI design

 

Subteams

This team will have two subteams.

  • Data science: 

    • In charge of the EDA process, machine learning pipeline development, result analysis of the models, and comparison.

    • Design the appropriate output to present in the final product

  • Engineering:

    • In charge of building the pipeline onto the application platform, debugging the system

    • Design the UI that can present the application

 

Subteams

  • Data Science
  • Engineering

Majors and Areas of Interest

  • Financial Engineering
  • Finance
  • Data Science
  • Software Engineering
  • Merger and Acquisition Experience
  • Cloud Application Development
  • UI Design

Methods and Technologies

  • Data Science
  • Machine Learning
  • Deep Learning
  • Amazon Web Services
  • UI Design

Partners

  • NYU Tandon School of Engineering

Primary Instructors