Linda Ruetz

Background

About Linda Ruetz

I am a biomedical scientist and software engineer, with degrees in biomedical engineering and computer engineering. I have carried out applied research in the medical device industry at the interface between medicine and technology. My greatest career successes have been in the collection, processing, and detailed analysis of large physiological data sets. I have significant experience in development of custom software for research applications, including modeling physiological processes or clinical studies, data analysis, and display of clinical device behavior. Expertise: design and implementation of custom modeling and analysis software, retrospective analysis of large data sets, human anatomy and physiology, human disease processes, electrophysiology, design and implementation of medical device features, design and execution of human clinical trials, preparation of regulatory submissions, C/C++, Python, Pandas, Jupyter, Perl, Linux/Unix. Top Clifton StrengthsFinder strengths: Learner-constantly striving to learn and improve Input-inquisitive, collector of information Deliberative-being thorough, conscientious, careful, and vigilant Harmony-finding common ground, enhancing collaboration Analytical-logical, objective, data-driven I am also a student of data science, participating in Meetup groups on Machine Learning, and member of winning team in the "Analyze This" Meetup Group Jan-April 2016 competition. I have completed " The Data Scientists's Toolbox" course on Coursera.