Thomas Bergamaschi
About Thomas Bergamaschi
Thomas Bergamaschi is a Hydrologic Technician at the U.S. Geological Survey, specializing in water quality data analysis and systems monitoring. He has a background in data analysis and machine learning, with previous roles at the University of California, Santa Cruz, Mazama Science, and the Monterey Bay Aquarium Research Institute.
Current Role at U.S. Geological Survey
Thomas Bergamaschi currently serves as a Hydrologic Technician at the U.S. Geological Survey (USGS) in Sacramento, California. He has held this position since 2019, contributing to various projects related to hydrology and water quality. His work involves interfacing scientific instruments with data loggers to facilitate real-time water quality data delivery, which is crucial for monitoring environmental conditions.
Previous Experience at University of California, Santa Cruz
Bergamaschi worked as a Machine Learning Research Assistant at the University of California, Santa Cruz for five months in 2018. During this time, he gained experience in applying machine learning techniques to research projects, enhancing his analytical skills. His role involved collaborating with researchers to develop models and analyze data.
Data Analyst Role at Mazama Science
From 2018 to 2019, Thomas Bergamaschi was employed as a Data Analyst at Mazama Science in the Greater Seattle Area. In this position, he focused on data analysis and visualization, contributing to projects that required the aggregation and interpretation of complex datasets. His work supported the organization's mission to provide scientific insights through data.
Educational Background in Technology and Data Science
Thomas Bergamaschi earned a Bachelor of Science in Technology and Information Management from the University of California, Santa Cruz, completing his studies from 2013 to 2018. He furthered his education by attending the University of California, Davis, where he completed a Data Science Bootcamp focused on Data Analysis and Visualization from 2019 to 2020. This educational background equipped him with the skills necessary for his current and previous roles.
Technical Skills and Projects
Bergamaschi has developed a range of technical skills relevant to his work in hydrology and data analysis. He has built frontends using React.js, Leaflet.js, deck.gl, Dash, and Plotly for real-time water quality data analysis and systems health monitoring. Additionally, he has experience in developing ETL pipelines in Python to aggregate data from multiple REST APIs and designing database schemas in PostgreSQL for data storage.