Physicist turned Data Scientist — I combine scientific rigor with end-to-end data skills: from raw data wrangling and ML models to interactive Power BI dashboards and peer-reviewed research.
Co-author of a published paper applying Bayesian Graph Neural Networks to cosmological CMB data (Universe, MDPI 2026). I bring that same analytical mindset to business problems: churn prediction, EDA, clustering, regression models, SQL analytics, and cloud-based pipelines on GCP.
Languages
Data & ML
BI & Cloud
Bayesian Graph Neural Networks applied to CMB Power Spectra Universe, MDPI — 2026 A peer-reviewed paper applying probabilistic deep learning to cosmological data from the Cosmic Microwave Background.
Code released under the MIT license