◦ Systematically managed the individualized optimization of sensitivity and quality of iTMS treatment◦ Administrated EEGs and individualized Transcranial Magnetic Stimulation (iTMS) treatments for children and adults who suffer from neurological and psychiatric conditions◦ Assisted with scheduling software and contacting patients

◦ Pioneered the first efforts to define normal network activity by analyzing product data◦ Developed and implemented SVM and Random Forest machine learning models to detectnetwork anomalies, including malicious activity◦ Preformed feature engineering to achieve a 98% detection rate on network anomalies ◦ Conducted time series analysis to uncover patterns in 64% of all network communication◦ Ran on an Agile Schedule and tracked project goals and steps with JIRA

◦ Member of 4 person research team on Moving Target Pipeline On WFPC2; an image cleaning and object targeting system created for the Hubble Telescope◦ Personally responsible for testing the quality of the targeting system and providing informed systems feedback – created performance metrics and analyzed statistical findings◦ Weekly presentations in dynamic research environment, requiring quick thinking and collaboration◦ Ended in publication, evaluating the system’s success and suggesting future work for system improvement◦ Utilization of Excel and Mac command line for data entry and analysis