Python (especially Numpy/Scipy, Pandas, SKLearn), R, SQL, RShiny, Spark (prefer Python API), Django, Ruby/Ruby on Rails, PostgreSQL/PostGIS, Tableau, Git, Github, AWS, bash, Docker, HTML/CSS, Microsoft Office
Python (especially Numpy/Scipy, Pandas, SKLearn), R, SQL, RShiny, Spark (prefer Python API), Django, Ruby/Ruby on Rails, PostgreSQL/PostGIS, Tableau, Git, Github, AWS, bash, Docker, HTML/CSS, Microsoft Office
Create Python pipeline to clean government administrative time series data for machine learning. Build and evaluate models for use in policy decisions by partner agencies.
Assistant for Professor Anne Rogers for Computer Science 121: Introduction to Computer Science with Applications. Lead three sections of weekly laboratory sessions, hold office hours, and develop and grade assignments in Python for a class of over 150 undergraduate/graduate students.
Conducted statistical analysis and built predictive models using Python, R, and SQL to answer business questions for clients including Fortune 100 companies, international NGOs, and city governments. Interpreted, visualized, and presented results to clients.
Helped build website to visualize predicted risk and uncertainty of violent crime in Chicago neighborhoods based on open data using Ruby, Python, and HTML/CSS. Wrote talks and memos on topics at the intersection of data science and urban studies.
Led research and content strategy to promote adoption of open data policies and digital government practices by US cities. Doubled the number of city governments regularly engaging with programs two years in a row. Managed a team of two research assistants.
Led event programming for the Code for America Summit (2013, 2014, and 2015): an annual three-day conference attended by more than 1200 civic technology leaders and 160 city governments.
Co-edited (with Brett Goldstein) Beyond Transparency (2013), an anthology about the impact of open data on civic engagement. Beyond Transparency was a #1 best seller on Amazon.com in Local U.S. Politics.
One of three undergraduates selected for 17 spots in fellowship program. Organized briefings to engage congressional staff on technology policy issues including digital copyright and broadband regulation.
Conducted research on digital safety for children in developing countries culminating in exploratory report published in collaboration with UNICEF.
Coursework in computer science, statistical machine learning, econometrics, policy analysis, databases, and spatial data analysis