AI Product & Strategy | Applied Machine Learning | Healthcare & Financial Systems
Washington, D.C.

I am an AI-focused product and strategy professional with a background in Information Science & Technology from Penn State University (GPA: 3.85).

My work sits at the intersection of:

• Artificial Intelligence
• Business Strategy
• Healthcare Systems
• Financial Risk Modeling
• AI Governance & Compliance

I specialize in translating complex machine learning systems into scalable, executive-ready solutions that drive measurable business impact.

I am particularly interested in AI product leadership within healthcare, financial infrastructure, and regulated environments.

I design AI-powered systems that:

• Transform operational workflows
• Improve decision-making through predictive modeling
• Integrate compliance and ethical AI governance
• Bridge engineering teams and executive stakeholders
• Turn data into strategic advantage

I focus on product vision, system architecture thinking, and real-world implementation — not just experimentation.

Designed and deployed predictive risk models using Scikit-learn (logistic regression, random forest) to evaluate investment and project success probability.

• Built structured data pipelines (Python + SQL)
• Integrated macroeconomic datasets (World Bank, IMF, BLS)
• Implemented cross-validation & ROC-AUC optimization
• Delivered executive dashboards via Streamlit & Power BI
• Reduced projected financial exposure by 28%

Built an adaptive performance dashboard for financial and operational forecasting.

• Automated SQL-based data synchronization
• Designed dynamic role-based interfaces
• Improved cross-functional decision efficiency by 30%
• Embedded AI-driven risk scoring models

Led modernization of healthcare workflows via AI-driven automation.

• Architected Power Platform solutions
• Integrated HIPAA-aligned reporting systems
• Automated patient intake & operational workflows
• Increased throughput by 40%

Languages:

• Python
• SQL
• JavaScript

Machine Learning:

• Scikit-learn
• TensorFlow (Foundational)
• Model evaluation (Cross-validation, ROC-AUC)

Data & BI:

• Pandas
• NumPy
• Power BI
• Tableau
• Azure ML

Systems & Product:

• REST APIs
• Data pipeline architecture
• AI governance & compliance frameworks
• Human-Centered Design

• AI Product Strategy
• Technical Product Management (AI)
• Healthcare AI systems
• Financial risk intelligence
• Scalable AI infrastructure in regulated environments

To lead the development of high-impact AI platforms that transform healthcare and financial systems through intelligent, ethical, and scalable design.

LinkedIn: https://www.linkedin.com/in/diana-huertas-02b18b240/ Email: [email protected]