Merger & Acquisition Outcome Prediction (GY - ONLY)

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

Primary Instructors

• Prof. B. Blecherman
• FRE @ NYU Tandon School of Engineering
• barry.blecherman@nyu.edu