About
Data scientist and ML engineer based in Buckhannon, West Virginia, transitioning from seven years of enterprise sales into applied analytics and machine learning.
Seven years in enterprise sales and account management taught me how decisions actually get made inside a business — what data gets trusted, what gets ignored, and why. The NewForce Cohort 11 data science program gave me the tools to build the systems that should have existed the whole time: SQL, Python, statistical modeling, and dashboard architecture that stakeholders actually use.
On the ML side, CONSIM is a GPU-accelerated framework for real-time pattern detection in high-dimensional time-series data — a 20x performance uplift over a CPU baseline using CUDA/PyTorch and JAX, with phase-coherence tracking and spectral-analysis modules for streaming anomaly detection. The GitHub Language Analysis Platform is a data-analysis capstone spanning 1,200+ repositories, from ANOVA-backed language comparisons to an interactive React/Plotly dashboard.
On the delivery side: for Readyfuels I shipped the WVRTP facility inspection system — a React/Vite/TypeScript app on Vercel with QR-driven capture and Power Automate pipelines — alongside a 1,135-formula safety + KPI Excel workbook used by operators in the field. For Nous Research I built the Hermes plugin, a three-subagent agent stack. I also maintain JCLAW and kairos, local-first AI/agent infrastructure built so data never has to leave the room.
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