Helping Women Access Healthcare in India
April 13, 2016

As part of National Volunteer Week this month, we are profiling our DataCorps volunteers of projects past, present and future. These volunteers donate a whopping 5-10 hours a week over the course of several months to apply data science techniques that can help advance a social change organization's mission.

Tulalens exists to connect under-served women with high-quality health services. They help low-income women in slum areas in India make informed choices on which health facility to use for their reproductive health services. They approached DataKind for help finding an automated way to assess the quality of health care facilities based on survey data collected from women that had used them.

Their DataCorps team produced software that automated report-generation for clinics and generated an html report to share with women seeking healthcare. Tulalens is now using this information to provide recommendations about the health care options available, so women in these areas will be empowered to seek — and receive — higher quality care.

Why volunteer with DataKind?

"It is an honor and a pleasure to make whatever small contributions I can to the inspiring work of DataKind and its partner organizations."

Aaron Schumacher
Aaron Schumacher is a data scientist and software engineer for Deep Learning Analytics. He has taught with Python and R and worked with data for a range of private and public organizations. Meet Aaron here here here here and here > 

"They ask nicely."

Tom Levine
Thomas Levine is a neodada artist interested in sleep. Meet Tom >


"Volunteering with DataKind allows me to do what I enjoy the most while at the same time contributing to the greater good."

Gijs Joost Brouwer 
Gijs is a data scientist at the United Nations Global Pulse lab. Meet Gijs >

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