DataKind DC

DataKind DC

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DataKind DC launched in August 2014 to bring the data-for-good movement to America’s capital. Washington DC is home to many organizations doing social good at local, national, and international levels and DataKind has already worked with several of them. The city also has a thriving community of data scientists organized by Data Community DC, and they are complemented by civic-minded groups like Code for DC and high-profile attention to data from the White House’s and DC's Office of the CTO. Despite the vibrant data and social good ecosystem of DC, there is a need to bring these groups together to foster more collaboration. Datakind DC is thrilled to play that role, facilitating data-for-good engagements to build the capacity of organizations and data scientists alike to put data in service of the public good. 


Meet the Team

  • Max Richman

    Max Richman is a data scientist focused on building data products and data teams for global development. He works with foundations, governments, nonprofits, and private firms large and small around the world to help them monitor, evaluate and communicate needs and impact.  He built a data team at USAID, conducted design research on urban violence in Honduras, and led post-disaster surveys in Myanmar. Currently he serves as chief data scientist at GeoPoll leading research and development of a platform for running surveys through mobile phones anywhere on the planet.

  • Judy Yang

    Judy is an economist in the international development field. She currently works on poverty related issues, from data collection and measurement to understanding it's determinants. She also has professional experience in topics including migration, the business environment, household welfare, and access to finance. Outside of work, she enjoys running, traveling, art, and being a part of the DC data community!

  • Dan Kheloussi

    Dan is an energy industry analyst in the Federal Energy Regulatory Commission’s Office of Energy Policy and Innovation, where he focuses on emerging issues and technologies in electricity markets. He previously supported the Department of Energy's Office of Electricity Delivery and Energy Reliability with the development and demonstration of smart grid technologies, and has also performed research in various fields, including particle physics and LED lighting. Dan has a Bachelors of Science degree in Engineering Physics from the University of Pittsburgh and a Masters of Science degree in Applied Economics from Johns Hopkins University. When he's not writing queries and making graphs, Dan enjoys playing basketball, taking advantage of the cultural events around Washington, DC, and volunteering with local farmers markets.

  • Andrew Brooks

    Andrew is a data scientist at Capital One with a background in statistics and economics. His Interest in the data world spans machine learning, model validation, data visualization, data tool development and hacking code.  Outside of the world of data Andrew’s interests include ultra-trail running, cycling, building furniture, board games and any adventure outdoors.

  • Astrid Atienza

    Astrid is an experienced measurement and evaluation professional. She has worked with multiple education programs to use data to drive program improvement and assess impact. Astrid is currently the manager of strategic data initiatives in the Office of the Chief of Staff at the District of Columbia Public Schools where she focuses on aligning data systems, reporting and data governance across the organization.

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