Danielle joined SignalFire in 2021, where she supports portfolio companies’ data and research needs. She uses SignalFire's data sets to empower our portfolio companies, providing them with bespoke lists for GTM, recruiting, customer insights, and competitive intelligence. She also works cross-functionally with the engineering, data science, and portfolio teams, to improve internal systems and the experiences of the portfolio companies.
Before joining SignalFire, Danielle worked as a Data Scientist at Two Six Capital, where she leveraged data science for private equity. She delivered data-driven insights for the due diligence process and created machine learning models for several value creation projects.
Danielle graduated from the University of California, Berkeley in 2019 with a BA in Statistics with a focus on Computer Science. During her time at Berkeley, she interned as a Data Scientist at Two Six Capital and a Marketing Analyst / Project Manager at HP.
Outside of work, Danielle enjoys video games, fashion, and nail art. She also loves to spend time with her senior dog, Danta.