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.
Full pipeline integrating gravimetric, topographic, and seismic data to model crustal structure and isostatic compensation, from raw data processing to publication-quality figures.
In preparation for scientific publication — code private until submission
Statistical ranking model weighting World Cup, Champions League, Libertadores and Club World Cup titles, phase-weighted World Cup goal contributions, and league titles — using only officially verified data (RSSSF, FIFA, CBF, UEFA).
Attack/defence scoring model for Brazil's five World Cup-winning squads, weighting goals scored and conceded by the phase reached by each opponent. Built entirely on official match data.
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.
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