Senior data scientist - applied AI, ML, and decision intelligence

Designing AI systems that help teams make better decisions.

I work across problem framing, data strategy, modeling, evaluation, and operating constraints to turn ambiguous business questions into decision-grade systems.

Capabilities

From ambiguous problem to reliable operating workflow.

Decision Intelligence

Frame problems, define metrics, and design systems that support real actions.

Modeling Across Signals

Use structured data, text, time-based signals, and embeddings for prediction and retrieval.

Evaluation and Causality

Build confidence through calibration, error analysis, experiments, and measurement design.

Production Judgment

Anticipate monitoring, interpretability, failure modes, and stakeholder adoption.

Application Areas

Focused proof, broad applicability.

Explore all areas

Risk, operations, and regulated analytics

Healthcare Decision Support

Decision systems for provider risk, operational escalation, claims signals, utilization, and stakeholder-facing healthcare analytics.

Signals, alerts, and market-aware workflows

Finance and Macro Intelligence

Lightweight data products that turn time-sensitive financial events into usable alerts, research context, and decision support.

Prioritization systems for messy business workflows

Operations and Risk Prediction

Models and analytics workflows that help teams decide what to review, escalate, investigate, or act on next.

Grounded assistants and practical LLM workflows

GenAI and Retrieval Systems

Retrieval-augmented systems and LLM prototypes designed around grounding, evaluation, compute constraints, and practical usefulness.

Selected Work

Projects that show the decision-system pattern.

View projects

Low-friction next step

Have a role, project, or decision problem worth discussing?

Email is the best first step. No scheduling flow, no form, no friction.

Email Yohannes