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Katie Wetstone is a Data Scientist at Drivendata. Katie has a background in data analysis and machine learning. Katie previously worked as a Data Analyst at the Human Rights Campaign, where they built a machine learning model to predict which patients diagnosed with HIV were most likely to discontinue antiretroviral therapy treatment. Katie also provided guidance for implementation in a network of HIV care and support clinics in South Africa. Katie Wetstone has also worked as a Data Science Consultant at Zenysis Technologies and as an Evaluation and Impact Assessment Intern at Ceres, Inc.

Katie Wetstone has a Master's degree in Development Practice with a focus in Data Science from University of California, Berkeley. Katie also has a Graduate Certificate in Applied Data Science from UC Berkeley School of Information. Her undergraduate degree is in Chemistry from Harvard University.