regie felix

* Verified and validated of Continuous Glucose Monitoring (CGM) Devices * Executed automated test scripts and manual test cases * Created validation documents (plan, protocol, report) * Performed software risk and hazard analysis

* Took part in Team Master's Project (TMP) at Keck Graduate Institute * Communicated with end-users to understand software requirements and specifications * Utilized user requirement to create a ranked list of databases * Studied the data processing of Critical Quality Attributes Test results for biosimilars * Created comprehensive report, recommended the ideal database and provided an implementation plan

* Verify and validate mobile applications of Continuous Glucose Monitoring or CGM device * Create validation documents (plan, protocol, report) and change orders using Agile PLM * Lead and plan sustaining software validation cycles * Collaborate with core team members about project tasks and deadlines * Understand software requirements and develop relevant test case * Develop and execute manual and automated test cases * Experience in automation test setup using Appium, MockServer

* Involved in customer service and satisfaction when purchasing a new or pre-owned Ford vehicle * Presented and demonstrated the particular features of the vehicle to the customer * Assisted customers in the sales process such as vehicle demonstration, test drives, and contract paperwork.

* Learning Python as a new programming language via Codecademy * Application of unbiased stereology via open source software and Python scripts * Built ImageJ plugin to recognize, count and analyze cells within an image or frame. * Assistance in RAAIM, a Python notebook consisting of various function for signal processing.

* Preparing chemical solutions for general chemistry, organic chemistry and biochemistry labs * Setting up equipment such as spectrophotometers and other lab apparatuses * Collaborating with instructors, professors, and students * Digitalizing equipment checkout files and agreement forms for students and professors

* Studied types of hierarchical clustering of protein-protein interactions related to Huntington's disease * Applied hierarchical clustering through R and Machine Learning Techniques * Identified significant protein-protein interaction modules that may cause Huntington's disease

* Utilization of Bayesian Networks and other machine learning techniques for epistatic interactions among SNPs, genes, and phenotype of an individual * Understanding how genetic changes within an organism overall effects an organism's particular trait or disease state * Comparison of various techniques such as open-source software and written Java programming