Christina Alva
About Christina Alva
Christina Alva is a Lead Data Analytic Developer at Mathematica Policy Research, where she has worked since 2016. She has authored a book on data analytics and contributed to research on healthcare policy, while also mentoring junior analysts in advanced data manipulation techniques.
Work at Mathematica
Christina Alva has been employed at Mathematica Policy Research since 2016, serving as the Lead Data Analytic Developer. In this role, she focuses on advanced data analytics projects and leads initiatives to enhance data-driven decision-making. Prior to her current position, she worked as a Senior Programmer Analyst/Supervisor at Mathematica from 2010 to 2016, where she contributed to various data analysis projects within the Washington D.C. Metro Area.
Education and Expertise
Christina Alva earned a Master of Science degree in Applied Mathematics from The University of Texas at San Antonio, completing her studies from 2008 to 2010. Her educational background provides a strong foundation in quantitative analysis and data manipulation techniques, which she applies in her current role. She is proficient in using SAS and SQL for advanced data analysis and regularly mentors junior analysts in these areas.
Background
Before joining Mathematica, Christina Alva held various positions that contributed to her expertise in data analytics. She worked as a Student Data Collector at the Bexar Appraisal District from 2008 to 2010 and as a Research Analyst for the United States Coast Guard Auxiliary for two months in 2010. Additionally, she served as a Data Transcriber at the Department of Treasury from 2006 to 2010, gaining valuable experience in data management and analysis.
Achievements
Christina Alva authored a book on data analytics, providing insights and methodologies for analyzing large datasets. She has also contributed to a published research paper focusing on the impact of data analytics in healthcare policy. Notably, she developed a proprietary algorithm that optimizes Medicaid claims processing, which has significantly improved efficiency in that area. Christina is an active speaker at industry conferences, sharing her knowledge on data analytics and Medicaid data analysis.