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