🧬🧪💻📊BBMH Codes🧬🧪💻📊

Applied Bioinformatics, GenAI, and Healthcare Analytics for Maternal & Public Health

These examples showcase how I design analytic solutions-from data intake to equity-aware interpretation.

Public demos show the approach and outputs. Full production pipelines are developed through professional engagements.

Goal: demonstrate capability without releasing client-grade implementations

What this page demonstrates:

• Data extraction, cleaning, and integration (claims/EHR/quality)

• Audit checks for accuracy and reporting readiness

• Equity flags (race, geography, time)

• Tableau-style storytelling (visual -> insight -> action)

• GenAI-assisted summaries (stakeholder-ready)

How I Work:

I design, validate, and deploy healthcare analytics systems end-to-end. Development and testing are performed locally on Linux (Ubuntu), with production environments secured using industry-standard access controls and deployment practices.

GenAI is applied sparsely and selectively — always with human oversight and auditability.

What this demonstrates:

• Extract, clean, and validate analysis-ready datasets (claims-like, EHR-like, and quality-reporting structures)

• Equity-aware stratification (by race, geography, and time to surface potential disparities)

• Audit-ready checks (including missingness, outliers, and schema consistency)

• Narrative synthesis for non-technical stakeholders (using AI-assisted, human-reviewed summaries)

Interactive Demo: Unified Healthcare Analytic View

This mirrors how payers and health systems monitor cost, utilization, and quality performance across populations.

Description:

This demo simulates combining claims-like, EHR-like, and quality reporting tables into one unified reporting view.

Outputs shown:

• Jointed "patient-month" table

• PMPM cost proxy

• utilization measures

• a quality flag

• audit check summary

Tableau Examples (Quality + Cost Variation)

• What changed over time

• Where variation is highest

• What action a hospital could take next

GenAI in Healthcare Analytics (Human-in-the-Loop)

I design human-in-the-loop GenAI workflows that support (not replace) analyst judgement-especially for summarizing findings, drafting stakeholder briefs, and identifying quality risks.

Mini examples:

• Auto-draft an executive summary from analytic outputs

• Generate "audit notes for data quality exceptions

• Produce plain-language explanations for non-technical stakeholders

Work With Me

I'm available for healthcare analytics roles and consulting projects focused on performance improvement, quality measurement, and equity-aware reporting. If you're hiring or need analytics support, I can help turn complex healthcare date into actional insight.

• Discuss a Role

• Request a Consulting Quote

Interactive Demo: AI-Assisted Maternal Health Equity Analysis

(Public -health style data ~ audit-ready logic ~ stakeholder summary)

Uses synthetic or publicly available, public-health-style data structures to demonstrate analytic approach only.

• This interactive demonstration simulates how maternal health datasets are prepared, validated, and reviewed for equity-related patterns prior to reporting or modeling. The workflow emphasizes data integrity, responsible stratification, and stakeholder-ready interpretation rather than tool extraction.

  Demonstration only-full implementations are developed per client or project.

Analytic Workflow (APPASA):

• Ask – Where do maternal health outcomes show equity gaps?

• Prepare – Load and standardize public-health-style data

• Process – Validate schema, missingness, and consistency

• Analyze – Stratify outcomes by race, geography, and time

• Share – Generate visual summaries and stakeholder-ready insights

• Act – Highlight where deeper review or intervention may be needed