Building something new.
I cofounded Represently, the first company to apply machine learning to Congress's workflow (acquired). I helped launch General Assembly’s Data Science Immersive, empowering anyone to become a data scientist. I then led B2B data science programs.
Previously, I built dashboards and data pipelines for the Facebook Government and Politics team, worked in digital brand consulting at FleishmanHillard and Purple Strategies, conducted economic trade analysis at the US Department of Agriculture, and interned in the US Senate. I studied at George Washington University and the London School of Economics.
I'm from Iowa, but I live in DC.
Data science can be applied to any discipline, and it's surprisingly approachable. I write about quantifying typically qualitative fields (e.g. assessing food or plagiarism among political speeches). I also share tutorials and resources.
Projects are a great means to both grow the tech community and constantly be learning. I organize (and attend) hackathons, speak at events, build one-off sites, and conduct quantitative analyses.
I curate a weekly newsletter on data events happening in DC, news, and occasional fun datasets. It's powered by the community, so I welcome submissions as well as signups.