Svetlana Bronnikov

Senior Programmer Analyst @ Mathematica

About Svetlana Bronnikov

Svetlana Bronnikov is a Senior Programmer Analyst at Mathematica Policy Research, where she has worked since 2011. She has extensive experience with Medicare claims and large healthcare databases, along with specialized skills in SAS programming for health research.

Work at Mathematica

Svetlana Bronnikov has been employed at Mathematica Policy Research since 2011, serving as a Senior Programmer Analyst. In this role, she focuses on analyzing Medicare claims and large healthcare databases. Her work contributes to the organization's efforts in health research and policy analysis. Located in the Washington D.C. Metro Area, she has accumulated over 13 years of experience in this position, demonstrating a commitment to advancing healthcare data analysis.

Education and Expertise

Svetlana Bronnikov earned her Master of Science degree in Mathematics from Kazan State University, where she studied from 1993 to 1998. Her educational background provides a strong foundation for her analytical skills. She has over four years of specialized experience in SAS programming, particularly in the context of health research. Her proficiency extends to using various SAS tools, including SAS/Stat, SAS/Graph, and SAS/MACRO, which she employs in her programming tasks.

Background

Svetlana Bronnikov has extensive experience in the healthcare sector, particularly in working with Medicare claims and large healthcare databases. Her expertise includes handling government survey databases such as the Medical Expenditure Panel Survey (MEPS) and the National Health Interview Survey (NHIS). This background equips her with the necessary skills to analyze complex data sets and contribute to health research initiatives.

Technical Skills

Svetlana Bronnikov is proficient in using SUDAAN and MPLUS for statistical analysis, which are essential tools in her work as a Senior Programmer Analyst. Her technical skills in SAS programming allow her to utilize a wide range of SAS tools effectively. This expertise enables her to conduct thorough analyses and support various health research projects.

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