This repository contains the files and code for my final project in UC Berkeley's Data-X course hosted by the Sutardja Center for Entrepreneurship and Technology:
- IEOR 135: Applied Data Science with Venture Applications
The goal of this project is to build a tool to help provide venture capital firms with insight into a new founder to make data-driven investment decisions.
The algorithm in this project uses past founder data and valuation at different stages of the startup to determine how similar a new founder is to past founders. Refer to FounderSimilarityCalculator.ipynb for how the algorithm is implemented.