sgjholt
I am a Data Scientist with extensive industry experience and a Ph.D. in Geophysics. I love solving problems that leverage machine learning.
USAADallas, TX
Pinned Repositories
specmod_dash
A dash application to view and review SpecMod spectra.
eqstochsim
A library to explore the stochastic method following Boore (2003).
SpecMod
SpecMod - A Toolbox for Processing and Modeling Seismic Spectra
matplotconf
A repository of custom matplotlib settings.
mlmags
A small data science project which explores the use of some basic machine learning tools to predict moment magnitude for small-to moderate-sized earthquake in Utah, USA.
ynp_local_magnitude_recalibration
A companion repository of code that was used to recalibrate Local Magnitude (ML), then compare and constrast past and present ML assignments for earthquakes recorded in Yellowstone National Park, USA.
2016-01-06-bristol-testing
2020-aachen-inverse-problems
Short course on geophysical inversion at RWTH Aachen University.
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
local_magnitude_site_amplification
sgjholt's Repositories
sgjholt/SpecMod
SpecMod - A Toolbox for Processing and Modeling Seismic Spectra
sgjholt/ynp_local_magnitude_recalibration
A companion repository of code that was used to recalibrate Local Magnitude (ML), then compare and constrast past and present ML assignments for earthquakes recorded in Yellowstone National Park, USA.
sgjholt/eqstochsim
A library to explore the stochastic method following Boore (2003).
sgjholt/mlmags
A small data science project which explores the use of some basic machine learning tools to predict moment magnitude for small-to moderate-sized earthquake in Utah, USA.
sgjholt/2016-01-06-bristol-testing
sgjholt/2020-aachen-inverse-problems
Short course on geophysical inversion at RWTH Aachen University.
sgjholt/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
sgjholt/local_magnitude_site_amplification
sgjholt/mage_playground
sgjholt/matplotconf
A repository of custom matplotlib settings.
sgjholt/mopy
A python package to calculate seismic source parameters
sgjholt/planets
sgjholt/pyeqbal
sgjholt/pygmt
A Python interface for the Generic Mapping Tools
sgjholt/pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
sgjholt/reproducible-research
Lesson on reproducible research.
sgjholt/rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
sgjholt/sgjholt
sgjholt/sgjholt.github.io
A personal 'portfolio' website created using the Jekyll framework, hosted as a GitHub Page.
sgjholt/site_analysis
Site analysis project. Contains classes and functions for 1D site analysis.
sgjholt/SiteResponseTool
The Site Characterisation and Seismic Response Analysis Toolkit for Python
sgjholt/specmod_dash
A dash application to view and review SpecMod spectra.