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I solve problems creatively.

I tell a story with pictures and words to explain the solution.

I'm fascinated by atoms and chemistry, geometry and calculus, coding and algorithms, and the way human beings work, fail, and flourish.

Materials science:

My goal is to work where chemistry and symmetry, quantum properties, and electromagnetism meet. (Shown: prospective model of an ST1 diamond defect, a room temperature single photon emitter.)

Geoscience:

I have years of experience examining, diagnosing, and solving problems in geochemical research and geological consulting. (Shown: inverse distance weighted model of TCE distribution in soil constructed in R.)

Data science:

I process data and information by any and every means, and always have. I specialize in generalism... but particularly in unsupervised learning and letting the data speak to me. (Shown: false color image of Kilauea and environs constructed by PCA on Landsat 8 data.)

Paul's github stats

Design inspiration from Pratik Kumar: https://github.com/pr2tik1

Built with MARKDOWN EDIT: https://github.com/mike-ward/Markdown-Edit/

Paul G's Projects

dsp icon dsp

Metis Data Science Bootcamp - Official Prework Repository

igneouseons icon igneouseons

Classification of igneous rocks by eon based on major, minor, and trace element chemistry (rather than isotopic signals).

job-skills-nlp icon job-skills-nlp

Parses job descriptions and identifies most common terms, topic modeling to inform skill development.

metisbaseball icon metisbaseball

Simple regression analysis of Major League Baseball attendance, 1920-2019

metismtaproject icon metismtaproject

Linkup of MTA ridership data, station locations, and hospital locations to look for underserved areas.

pagiesting icon pagiesting

secret front page warp zone... I mean, it's all over ye interwebs, it's not that secret

thermal-expansion icon thermal-expansion

Calculates linear and volume alphas from dilatometer data (Netzsch DIL-402c) by curve fitting

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

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