About MDRC
Htet is a statistical programmer with experience in using the R programming language for interactive dashboard development, statistical package development, data preprocessing, data deduplication, and predictive modeling. Since joining MDRC in the fall of 2018, he has worked primarily on a multiple hypothesis project, creating a user-friendly R Shiny Dashboard and package for researchers. He is also working on a predictive analytics tool for the Center for Data Insights using Github, R Markdowns, and Wrapper functions. This tool will be available to analysts at MDRC and at partner organizations. Before joining MDRC, he was a Data Science for Public Good Fellow at the Social Decision Analytics Lab in Ballston, MD. There, he worked on data deduplication and synthetic data creation, among other topics.
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MDRC Publications
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Other Publications
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Projects
Across the social sector, government agencies, educational institutions, and nonprofit organizations are all benefiting from greater access both to more detailed and frequent data and to a variety of options for increased computing power. With data-science tools and guidance in applying them, practitioners can harness multiple sources of data to gain new insights about the individuals they serve, the contexts in which they operate, their staff members, and their program features. When such tools are incorporated into daily operations in a responsible way, they can help practitioners improve their programs and the lives of those they serve.