Hi! 👋 I'm Mariana Vivas Albornoz, a physicist with a strong passion for data analysis, machine learning, and open science.
I’m a PhD candidate in experimental particle physics at the Deutsches Elektronen-Synchrotron (DESY), working within the ATLAS experiment. Since 2023 I’ve contributed to the ATLAS Open Data Project at CERN. You can see our materials on the ATLAS Open Data website.
Before returning to academia, I applied data science in the public-finance sector in San Salvador, building predictive models to improve tax collection—forecasting payments, identifying likely defaulters, and segmenting real-estate tax behavior.
My practical foundation was a Data Science bootcamp at Henry, where I improved my Python, SQL, Docker, Power BI, and machine-learning skills through different (pretty basic) projects: Mexico seismic-alert prototype, an ETL pipeline with Python/MySQL, a real-estate classifier, and a historical analysis of aviation incidents.
The spark for all this came earlier: in my undergrad final project I used machine learning to search for new physics in simulated LHC data—an experience that set me on this path.
I’m always up for new challenges at the intersection of physics and data. Feel free to explore my work and reach out!
