Andrés Nigenda is a senior data scientist at Mathematica. Andrés’ applied and research interests include societal/broader impacts, inequality, technological change, and higher education (STEM). They lead data science and analysis tasks for clients such as the US National Science Foundation.
MS Computational Analysis and Public Policy
The University of Chicago
BA Economics
Instituto Autónomo Tecnológico de México
I’m a data scientist and researcher. My toolkit combines data science, program evaluation, and economics to analyze societal outcomes in the higher education, workforce, and science policy fields.
At Mathematica, I routinely work with clients such as the National Science Foundation, to better understand and leverage their data for rigorous decision making. I combine rigorous causal inference methodologies and advanced machine learning techniques with qualitative work to extract meaningful patterns from administrative data and unstructured text.
Don’t hesitate to reach out! 🤗