Sebastian Perez is a statistical analyst with over 10 years of experience working with data analysis, process improvement, and healthcare quality. He has a background in biostatistics from Emory University and a degree in industrial and systems engineering from the Georgia Institute of Technology.

At the Emory University School of Medicine, Sebastian has worked as a data analyst and statistician, as well as his current position as the Lead Research Informatics Analyst. He has also worked as a Research Assistant at the Emory University School of Public Health.

Sebastian is proficient in SAS, R, Minitab, SPSS, Prism, Octave/Matlab, and SQL. He also has working knowledge of Python, HTML/CSS, Javascript, and D3.js. His specialties include statistical analysis of health care and public health data, predictive modeling, and Six Sigma methodology.

In addition to his expertise in data analysis, Sebastian has an interest in using his skills to reduce costs or improve outcomes in the department of surgery. He is currently working on creating advanced reporting tools for physicians using machine learning methods and data visualization to perform risk adjustment.

Overall, Sebastian Perez brings a wealth of experience and knowledge to any team he works with, and his expertise in statistical analysis and process improvement can benefit organizations across industries.