How Carta Uses Data Science to Study the Inequities in Equity

Presented by

Erin Boehmer (Senior Machine Learning Engineer @ Carta)

About this talk

Talk Abstract: Carta is a Silicon Valley unicorn valued at $6.9B on a mission to help companies and investors manage equity ownership. In other words, Carta is mapping one of the world’s most valuable proprietary datasets: the ownership graph showing who gets rich when private equity becomes liquid. Equity is the largest lever for wealth creation in Silicon Valley and beyond; we believe it should be distributed equitably. In 2018, Carta partnered with one of Silicon Valley’s top investment collectives, #ANGELS, after they hypothesized the gender equity gap was worse than the salary gap. Carta has since committed to publishing a yearly study on the state of diversity on cap tables in an initiative known as Table Stakes. Join Erin Boehmer, the lead Data Scientist for the Table Stakes study, to learn about #TheGapTable and how she is taking a highly visible analysis from 0 to 1. Speaker Bio: Erin Boehmer is a Senior Machine Learning Engineer at Carta where she leads the development of platform data and ML products. She began her career with an MS in Data Science from UC Berkeley and BS degrees in Computer Science and Systems Engineering from the University of Virginia. Erin loves sampling (with replacement) from the vast buffet of data science problem spaces. Her experience includes building credit scoring models from solar kit data with Fenix Intl in Uganda, visualizing sensor networks with the Air Force, and monitoring state-level Covid data quality to ensure government accountability with the Covid Tracking Project. As much as Erin loves data and coding, she’s a big proponent of “work hard, play hard” and can often be found white water kayaking, rock climbing, sailing, or exhibiting self-control in the aisles of REI. Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.

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