Data Scientist
Data scientist with a background in environmental remediation and a strong foundation in applied statistics and bioinformatics. I hold a B.S. in Applied Statistics and an M.S. in Data Science from the Colorado School of Mines. I’m passionate about applying data-driven methods to problems in bioinformatics, biostatistics, and computational biology.
Interests: Bioinformatics, Machine Learning, Statistical Modeling, Data Visualization, Genomics, Spatial Analysis and Cartography
A Python workflow for retrieving, processing, and visualizing genomic data from NCBI datasets.
Python Bioinformatics Data Visualization
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An interactive dashboard for exploring differential gene expression using Plotly Dash and user-provided datasets.
Python Bioinformatics Dash Data Visualization
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Implementation of core neural network components entirely from scratch in Python and NumPy, following Harrison Kinsley and Daniel Kukiela's *Neural Networks from Scratch*.
Python Deep Learning Machine Learning NumPy
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