- Assembled a Raspberry Shake, a personal seismometer.
- Built an internet connected pumpkin for Halloween that talked to small children.
- Presented a talk on the changing data visualization landscape in large organizations (1974-2016).
- Competed in a machine-learning contest to predict well log facies put on by a geophysics journal.
- Created an augmented reality webpage / business card using AR.js, which leverages three.js, aframe.js, and ARtoolkit.
- Used SVM machine-learning approach to identify direct returns, reflections, multiples, and coherent noise in seismic gathers as part of a Geoscience Hackathon organized by Agile Scientific and Total. I participated virtually and the rest of my team was physically present in Paris.
- Helped build map applications to assist in the spreading and collection of accurate information about shelters and flooding post-Hurricane Harvey in collaboration with a large number of other volunteers via SketchCity, a civic tech organization.
- Built version zero of an application that can take in any google forms results csv files, pick the right charts, and create a data visualization such that clicking on an answer to a question filters the answers to every other question.
- Participating in a geoscience hackathon run by AgileScientific before the annual Society of Exploration Geophysicists Conference in Houston. Built a python-based machine-learning model to mimic geologists’ stratigraphic picks of the top of the McMurry Formation in Canada. Still working on this project as I get spare cycles.
- Building a “where science happens in Houston” map that leverages web-scraping and machine-learning.
- Played around with using three.js to make three-dimensional data visualizations from car-based lidar data.
Side-Projects over the last couple months
- Did a quick bit of machine-learning in a jupyter notebook to answer the question, “software engineer or data scientist”?