Geophysicist → Data Scientist
Marcelo Carvalho
25+ years reading the Earth's data. Now applying that same scientific rigour to machine learning, geospatial analysis, and data-driven problem solving.
25+ years reading the Earth's data. Now applying that same scientific rigour to machine learning, geospatial analysis, and data-driven problem solving.
A rare combination of deep scientific expertise and modern analytical tools.
I'm a geophysicist with over 25 years of experience working with large-scale, complex geophysical datasets — seismic, gravimetric, electromagnetic, and more.
This isn't a career change, it's an evolution. The analytical thinking, uncertainty quantification, and high-dimensional data interpretation I've practised for decades are exactly what data science demands.
Currently building expertise in Python, machine learning, and geospatial data visualisation — bridging the gap between Earth science and modern data-driven workflows.
Applying scientific thinking to real data problems.
Interactive visualisation of Bouguer anomalies focused on the Brazilian continental margin, highlighting density variations and geological structures.
Visualisation and analysis of geospatial data applied to regional geology. Integration of shapefiles, gravimetric data, and thematic maps of the Brazilian territory.
Classification and clustering algorithms applied to geophysical survey data to identify patterns and anomalies. Built with Scikit-learn and interactive Plotly visualisations.
Exploratory analysis of climate time series: trend detection, seasonality decomposition, and anomaly identification using Pandas and statsmodels.
Open to data science roles, collaborations, and interesting problems.
If you're looking for someone who brings deep scientific discipline to data problems — or just want to talk about geophysics and machine learning — reach out.
Send an email →