Models that answer practical questions
Predictive modeling, ML, NLP, and reproducible workflows. Python, SQL, CatBoost, XGBoost, LightGBM, and modern MLOps practices.
Data science for health, behavior, and outcomes
Where data science meets clinical expertise.
I turn complex health and behavioral data into models, evidence, and decision tools that federal teams and healthcare leaders can trust.
- DS
- Data Science · TripleTen Graduate
- PhD
- Clinical Psychology
- RN
- Registered Nurse · TX, CA, NY
- LSSBB
- Lean Six Sigma Black Belt · Healthcare
My work sits where predictive analytics, clinical reasoning, and operational rigor meet. I bring federal-ready compliance, doctoral research training, and active clinical credentials to teams building better health and behavioral evidence systems.
What I Bring
A rare blend of analytical, clinical, and human insight.
Research-grade measurement and evaluation
PhD-level expertise in study design, psychometrics, outcomes assessment, and translating behavioral complexity into testable evidence.
Lean Six Sigma Black Belt rigor
20+ years of ICU and clinical nursing experience paired with healthcare focused process improvement methodology — DMAIC applied to outcomes that matter.
Selected Work
Project stories built for visual evidence.
Selected projects from my data science portfolio — predictive modeling, NLP, and computer vision applied to real-world datasets.
Predictive Modeling
Telecom Customer Churn Prediction
Capstone project using CatBoost, XGBoost, and LightGBM to predict subscriber churn. End-to-end ML pipeline with feature engineering, model selection, and evaluation.
NLP & Sentiment Analysis
Film Junky Union Sentiment Classifier
NLP pipeline using spaCy, TF-IDF, and LightGBM achieving F1 > 0.85 on movie review sentiment classification.
Computer Vision
Good Seed Facial Age Detection
CNN-based age estimation from facial imagery using Keras and transfer learning for retail compliance application.
Employer Fit
Built for teams that need both statistical rigor and clinical judgment.
- Translate ambiguous clinical and operational questions into testable data problems.
- Communicate model results clearly to technical, clinical, and executive stakeholders.
- Apply Lean Six Sigma methodology to measurable process and outcome improvement.
- Maintain federal-ready compliance posture: SAM.gov registered, multi-state licensed RN.