SUMMARY
Lead analyst and data scientist with 6+ years owning end-to-end analytics and ML delivery in consulting and stakeholder-heavy environments—from
requirements and stakeholder alignment, to data readiness (SQL/ETL, quality checks), to modeling/evaluation and repeatable analysis pipelines.
Strong foundation in statistical reasoning and experiment design (hypothesis testing, A/B testing), with a track record translating complex findings
into clear, defensible decisions. Advanced Python and SQL; cloud experience across Azure/AWS/GCP; pragmatic strengths in documentation, version control,
and reliable handoff.
CORE STRENGTHS
- System evaluation: metric design & hierarchies, diagnostics/failure analysis, uncertainty-aware decision support
- Experimentation: hypothesis-driven analysis, A/B testing, statistical inference, interpreting change vs noise
- Scalable analytics: dataset assembly, data validation, repeatable pipelines, performance/reliability mindset
- Cross-functional leadership: scoping, prioritization, stakeholder communication, mentoring and standards-setting
PROFESSIONAL EXPERIENCE
Independent AI Engineering (Project-Based) —
Self-directed
May 2025–Present • Remote
- Built evaluation-minded GenAI retrieval workflows (RAG/GraphRAG patterns), emphasizing traceability (citations/provenance) and repeatable runs.
- Designed modular pipelines with clear interfaces (ingestion → retrieval → generation → evaluation) to support iterative testing and future productionization.
Technical Consultant (Program Delivery / Change Management) —
Inflective, Inc.
Jan 2024–May 2025 • Remote
- Partnered with stakeholders to assess program status, risks, and quality; translated findings into clear actions to keep cross-functional delivery on track.
- Resolved delivery blockers across business and technical teams, improving execution reliability and reducing friction for multi-workstream programs.
Data Scientist (Federal client: financial markets & data governance) —
Metric5 Consulting
Apr 2021–Jan 2023 • Remote
- Built Python tooling to streamline metadata export and reporting workflows in a standards-driven environment; authored documentation to support adoption.
- Developed a proof-of-concept reporting utility integrating ServiceNow and enterprise data catalog tooling to improve handling of data access requests.
- Collaborated with engineers and analysts to assemble datasets and deliver repeatable reporting, emphasizing data validation and reliability.
Technical Consultant & Project Manager (Healthcare analytics / risk management) —
Inflective, Inc.
Aug 2017–May 2019 • Remote
- Led a digital transformation initiative optimizing adjudication and analytics workflows, achieving ~30% faster processing time and meaningful cost savings.
- Designed and implemented a Python/scikit-learn classification model to automate medical bill categorization with performance comparable to human coders.
- Co-led process workshops to reduce error rates by ~25%; delivered in Agile (Jira) and presented results to executive stakeholders.
SELECTED ANALYTICS & EVALUATION HIGHLIGHTS
- Experimentation: applied hypothesis testing and A/B-style comparisons on biometric engagement measures (eye tracking, GSR, facial expression signals) to quantify outcomes.
- Data reliability: implemented validation checks and documentation patterns to support repeatable reporting and stakeholder trust.
- Decision support: translated ambiguous questions into measurable metrics and analyses; communicated tradeoffs and uncertainty clearly to mixed audiences.
Note: domain experience is cross-industry; prepared to ramp quickly in safety-critical evaluation contexts using rigorous measurement and reproducible methods.