Decision-Ready Data Builder
I build decision-ready data products across marketing analytics, data engineering, and machine learning — from attribution and forecasting to automated pipelines and LLM systems. M.S. Data Science candidate, UNT 2026.
Selected Work
Owned Retrieval Pipeline Architecture
Deep Learning RAG Agent
I built the decision-ready retrieval backbone for a deep learning RAG agent, engineering ingestion, vector search, and orchestration so users could get grounded answers with source context.
Hybrid NLP + Anomaly Detection
Guardian Recruit
I built a decision-ready fraud detection system that combines BERT NLP, anomaly detection, and SHAP explainability to flag suspicious job listings with interpretable risk signals.
7.7M Records Across 49 States
SafeRoute Analytics
I built a decision-ready safety analytics system by engineering 7.7M crash records into risk clusters, severity models, and an interactive advisory tool for logistics and insurance use cases.
Right Now
In Progress
Finalizing my Master's capstone — a hybrid BERT + Isolation Forest fraud detection system for digital recruitment platforms with SHAP-driven explainability.
Capstone · UNT DTSC 5082In Progress
Turning live GA4 event data from this site into a recruiter-ready analytics product with custom dimensions, conversion tracking, and a dashboard layer.
View analytics project → GA4 · BigQuery · Looker StudioBeyond The Screen
Outside of data, I sew, paint, and navigate trails — habits that sharpen the attention to detail and pattern recognition I bring to every analysis.