Data science foundation · enterprise AI delivery
I turn ambiguous operational problems into practical data and AI systems, connecting stakeholder discovery, solution architecture, implementation, evaluation, and adoption.
Applied analytics · ML evaluation · enterprise retrieval · responsible deployment
Selected portfolio
Case studies that connect the business problem, data and architecture, implemented system, evaluation, limitations, and operational value.
Portfolio evidence · in motion
Three durable signals from the portfolio, animated as you move through the evidence.
Portfolio snapshot · scroll-driven illustration, not a live feed.
How I work
My work emphasizes real datasets, explicit evaluation, reproducible pipelines, honest limitations, and product surfaces that make technical judgment usable for operators, leaders, and reviewers.
Capabilities
Python · SQL · statistical analysis · experimentation · KPI design · dimensional modeling · BI · geospatial analysis
Evidence: Operations Control Tower, public-sector analyticsRegression · classification · calibration · feature engineering · SHAP · subgroup analysis · drift and temporal validation
Evidence: healthcare risk, tabular benchmark, SKMRAG · embeddings · vector retrieval · document ingestion · OCR · FastAPI · Docker · grounding and citation evaluation
Evidence: PolyRAG and document intelligenceFairness evaluation · model cards · human review · auditability · risk registers · deployment gates · governance artifacts
Evidence: healthcare fairness, Aegis, public-sector AIProblem framing · stakeholder discovery · solution architecture · requirements · implementation planning · adoption and value translation
Evidence: public-sector transformation, client analytics, enterprise prototypesResearch & selected credentials
Publications
Certifications
Experience
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One connected practice
Across contexts
Different operating environments sharpen the same instinct: understand the system before proposing the solution.
The constant
Data, decisions, and products designed for the world people actually work in.
