Women owned businesses are growing 2X faster than all businesses nationwide, and yet, they only receive 2.8% of venture capital (VC) funding. The goal of this project is to help female entrepreneurs understand the VC funding landscape by producing a model to predict success of raising funds while also investigating gender bias and providing recommendations.
As the Project Lead and Data Science Fellow, Teneika conducted data analaysis, wrangling, Tableau dashboard development and data wrangling in Flow.. She led the team to create a model to evaluate the factors the lead to a Women-Owned or Women-Led business moving to the LP or GP stage of a venture deal. The outcome provided recommendations based on user and stakeholder interviews from experts in VC and access to a Tableau tool providing additional insight.
The team placed in top 5 projects out of 200 in the program. Link to Dashboard You can also view the findings from this research in the final report and on the datafolio.
October 2020