Data Scientist | Behavioral Intelligence Specialist | Forensic & Clinical Psychology Expert
PhD Clinical Psychology | Security Clearance Eligible
Specialized in Threat Assessment, Predictive Analytics & Federal Research
Learn More About MeI'm a data scientist at the intersection of behavioral intelligence, forensic analysis, and advanced analytics. With a PhD in Clinical Psychology and extensive experience in high-stakes healthcare and forensic settings, I bring a rare combination of skills to data-driven problem solving: the clinical expertise to understand human behavior patterns, the technical capabilities to build predictive models, and the research rigor to generate actionable intelligence.
My career spans crisis intervention, forensic assessments for criminal courts, federal emergency management, and data science—giving me a unique lens on how behavioral analysis, statistical modeling, and investigative methodologies converge to solve complex problems in public safety, national security, and public health.
I've assessed patients in crisis, conducted 70+ forensic competency assessments, led multi-agency emergency response operations, and analyzed datasets of 500+ cases to identify risk patterns. Now I'm applying that same intuition, rigor, and technical skill to data science—building models that don't just process numbers, but predict human behavior, identify threats, and generate insights that protect communities and inform critical decisions.
Whether developing threat assessment protocols, analyzing behavioral data for risk prediction, or building statistical models for public health interventions, I bridge the gap between understanding people and leveraging technology to serve the mission.
Production ML system comparing 5 algorithms (LightGBM, XGBoost, CatBoost, Random Forest, Decision Tree) for real-time vehicle valuation. Systematic evaluation across accuracy-speed-efficiency tradeoffs with resource-constrained optimization. LightGBM selected for deployment: RMSE $1,691, 43x faster training than Random Forest, sub-second inference for customer-facing applications.
Machine learning project optimizing oil well investment strategy using bootstrap validation and linear regression to minimize financial risk. Analyzed 200 potential well locations across three regions, implementing 1,000 bootstrap iterations to identify optimal region with $7.04M expected profit and 0% risk of losses.
Statistical hypothesis testing to evaluate cellular plan revenue using Python, pandas, and scipy. Implemented Welch's t-tests and confidence intervals to identify significant revenue differences between plan types.
Predictive modeling using regression analysis to forecast video game sales and identify success factors. Analyzed 16,000+ games across platforms and genres to build actionable forecasting models.
Most data scientists understand algorithms. Most behavioral specialists understand people. I understand both—and how they work together to predict threats, assess risks, and protect lives.
I've made split-second decisions with incomplete information in crisis situations. I've assessed defendants for criminal court and written reports that inform judicial decisions. I've coordinated federal emergency responses across multiple agencies. And I've analyzed behavioral data to build models that predict risk and inform intervention strategies.
I don't just analyze data. I understand the human context behind it—and I know how to turn that understanding into predictive models, threat assessments, and actionable intelligence that protects organizations, communities, and national interests.
Advanced training in Python, machine learning, statistical modeling, and data visualization
Expected Completion: [Add your expected completion date here]
Drexel University, Philadelphia, PA
Walden University, Minneapolis, MN
Dissertation: Recidivism: An Analysis of Race, Locus of Control, and Resilience
Walden University, Minneapolis, MN
Texas Woman's University, Denton, TX
Behavioral Intelligence | Threat Assessment & Analysis | Federal Research | Forensic Data Science | Predictive Analytics | Crisis Management | Public Health Intelligence | Defense & Security Analytics
Euless, TX 76039
Available upon request
Available upon request
Eligible
Leveraging data science and machine learning to build predictive models for behavioral risk assessment, threat detection, and intervention strategy optimization
Looking for someone who brings both technical expertise and behavioral insight to solve complex problems in national security, public safety, corporate security, or public health