Brendan Hoss
About Brendan Hoss
Brendan Hoss is a Test Site Coordinator and Site Lead at Yale University, currently based in New Haven, Connecticut. He has a background in computer software engineering and data science, with experience in machine learning and data analytics.
Current Role at Yale University
Brendan Hoss serves as the Test Site Coordinator - Site Lead at Yale University, a position he has held since 2021. In this role, he is responsible for overseeing testing operations and ensuring efficient site management. His work contributes to the university's commitment to maintaining high standards in testing protocols and procedures. Hoss operates within New Haven County, Connecticut, where he applies his skills in data management and analysis to support the university's initiatives.
Professional Experience at Veoci
Brendan Hoss has been working as the Office Coordinator at Veoci since 2022. Located in New Haven, Connecticut, he plays a key role in coordinating office operations and supporting various administrative tasks. His experience at Veoci complements his technical background, allowing him to integrate data-driven decision-making into office management.
Educational Background in Computer Science and Data Science
Brendan Hoss has a diverse educational background. He studied Computer Software Engineering at the University of Connecticut for one year from 2017 to 2018. He also attended Lambda School, where he focused on Data Science from 2020 to 2021. Prior to these studies, he earned an Associate's degree in Computer Science from Gateway Community College, completing his studies there from 2014 to 2017.
Data Science Internship at Story Squad
Brendan Hoss gained practical experience as a Data Science Intern at Story Squad from 2021 to 2022. In this role, he applied his knowledge of data science to real-world projects, enhancing his skills in data analysis and visualization. This internship provided him with valuable insights into the application of data science in a professional setting.
Technical Skills and Tools
Brendan Hoss is proficient in various technical skills relevant to data science and software engineering. He employs machine learning frameworks such as Keras, scikit-learn, and TensorFlow. His expertise includes data analytics using Python and libraries like pandas, Matplotlib, Plotly, NumPy, and SciPy. Hoss also engages in web scraping with tools like Beautiful Soup and Selenium WebDriver, and utilizes natural language processing with spaCy. Additionally, he is skilled in SQL and Git for data management and version control.