Designing solutions for various Data Science problems, including:-Completed exploratory data analysis of Type 1 Diabetes demographic and clinical data that motivated further research and a future publication to improve clinical understanding and treatment of T1D in the Hispanic population.-Led a change in data visualization methods, allowing for more precise identification of disease-associated T-cell receptors for figure publication. -Helping edit and run a pipeline that uses various coding languages and operating systems, including Python and R to process and analyze T-cell receptor sequencing data. -Leading investigative research into machine learning to better utilize past genomic data. -Help maintain, update, and pull data from two databases of patient and mouse samples. -Continuing to develop and emphasize problem-solving in a scientific manner. -Utilize various data visualization techniques to present weekly updates on analyzed data. -Present produced data and interpret colleagues’ data in weekly lab meetings for publication and further analysis.-Refining the ability to digest and understand various research papers and methods of presenting, processing, and utilizing data. -Continuously improving skills in analysis programs like Flowjo, Excel, GraphPad Prism, and SAS. -Taking the initiative to research and fill in gaps in knowledge related to data science, machine learning, immunology, analysis techniques, Python libraries, programming languages, etc.