Jake Porway

Jake Porway is a data scientist and founder of DataKind, a non-profit organization that brings together Data Science professionals with Non-profit organizations to work on Data-driven projects. He has worked with various organizations, including NASA, The New York Times, and Google, to apply Data analysis and Machine learning techniques to solve complex problems. Porway's work has been featured in several publications, including The New York Times, Forbes, and Harvard Business Review. He has also spoken at conferences such as SXSW, TEDx, and Strata Conference.

● Early Life and Education

Jake Porway grew up in New York City and developed an interest in Computer science and Mathematics at a young age. He attended New York University (NYU), where he studied Computer science and Mathematics, and later earned his master's degree in Computer science from New York University's Courant Institute of Mathematical Sciences. During his time at NYU, Porway was exposed to various Programming languages, including Python, Java, and C++, and developed a strong foundation in Algorithms and Data structures. He also had the opportunity to work with NYU's Center for Data Science, which further sparked his interest in Data science and its applications in Artificial intelligence, Machine learning, and Data visualization.

● Career

Porway's career in Data science began at The New York Times, where he worked as a Data analyst and developed Data visualizations for various stories, including those related to Politics, Economics, and Sports. He later joined Google as a Data scientist, where he worked on Machine learning projects, including Natural language processing and Recommendation systems. Porway has also worked with NASA on Data analysis projects, including the NASA Jet Propulsion Laboratory's Mars Exploration Program. His work has been influenced by Data science leaders such as DJ Patil, Hilary Mason, and Jeff Hammerbacher, and he has collaborated with organizations like The World Bank, The United Nations, and The Red Cross.

● Data Science Work

Porway's work in Data science has focused on applying Machine learning and Data analysis techniques to solve complex problems in Social impact areas, such as Poverty, Healthcare, and Education. He has worked with Non-profit organizations like The Nature Conservancy, The World Wildlife Fund, and The American Red Cross to develop Data-driven solutions for Conservation, Disaster response, and Public health. Porway has also collaborated with Academic institutions like Harvard University, Stanford University, and Massachusetts Institute of Technology (MIT) on Research projects related to Data science and Artificial intelligence. His work has been recognized by The White House, The United Nations, and The World Economic Forum.

● Founding of DataKind

In 2011, Porway founded DataKind, a non-profit organization that brings together Data science professionals with Non-profit organizations to work on Data-driven projects. DataKind has worked with over 300 Non-profit organizations on projects related to Poverty, Healthcare, Education, and Environmental conservation. The organization has also collaborated with Corporations like Google, Microsoft, and Amazon to provide Data science expertise and Resources to Non-profit organizations. DataKind has been recognized by The New York Times, Forbes, and Fast Company as a leader in the Data science for Social good movement.

● Awards and Recognition

Porway has received several awards and recognition for his work in Data science and Social impact. He was named one of the Forbes 30 Under 30 in 2012 and received the MIT Technology Review 35 Innovators Under 35 award in 2013. Porway has also been recognized by The White House as a Champion of Change for his work in Data science and Social impact. He has received awards from The National Science Foundation, The Knight Foundation, and The Rockefeller Foundation for his work in Data science and Non-profit leadership.

● Public Engagement and Writing

Porway is a frequent speaker and writer on topics related to Data science, Social impact, and Non-profit leadership. He has written for publications like The New York Times, Harvard Business Review, and Forbes on topics such as Data-driven decision making, Machine learning, and Data visualization. Porway has also spoken at conferences like SXSW, TEDx, and Strata Conference on the applications of Data science in Social impact areas. He has been interviewed by Media outlets like NPR, BBC, and CNN on his work in Data science and Non-profit leadership. Porway's work has been influenced by Thought leaders like DJ Patil, Hilary Mason, and Jeff Hammerbacher, and he has collaborated with organizations like The World Bank, The United Nations, and The Red Cross. Category:Data scientists