Engineering data systems
behind scalable analytics.

Senior Data Scientist / Senior Data Engineer

• ETL & Integration Engineering: Engineered extensive SQL and Python scripts to develop enterprise ETL pipelines, including an external integration table ('Golden Record Table') consolidating veterinary hospital master data across systems.
• Automated Auditing & Processing: Built internal SQL/Python data pipelines for automated claim resolution and automated payment audits; developed direct Outlook inbox scraping for medical record tracking and processing.
• Web Scraping & Product BI: Constructed custom Web/HTTP scraper pipelines to automatically download insurance rate filings from SERFF for product competitive analysis, pricing elasticity metrics, and customer retention modeling.
• Warehouse Infrastructure & Logging: Stood up the first analytics sandbox database in company history; established a standardized logging table structure for end-to-end ETL flow tracking and created the company's first data engineering Git repository.
• Databricks & BI Visualization: Served as primary in-house Databricks developer; connected analytics sandbox tables directly to PowerBI to deliver self-service visualization for commercialization and product teams.
• Teammate Enablement & UI Tools: Designed custom Python modules to grant non-technical analysts simplified access to reusable ETL functions; developed a custom UI for customer service teammate oversight and audit tracking.

Policy Analytics Specialist | Senior Analytics Specialist

• Big Data & SparkSQL Development: Authored optimized SparkSQL scripts against Hadoop clusters to extract and analyze massive transactional datasets, supporting complex risk, financial, and policy impact analytics.
• A/B Testing & Policy Forecasting: Designed, executed, and analyzed A/B testing models to forecast the financial impact of proposed changes to Seller Protection policies and risk management products.
• Automated ETL & RPA Deployment: Architected, documented, and deployed multiple automated ETL pipelines; utilized in-house tools to design and roll out 10+ Robotic Process Automation (RPA) flows across operational processes.
• Cross-Functional Teammate Execution: Collaborated closely with Risk, Product, and Engineering teams to implement product/policy modifications, while wordsmithing technical documentation with Content and Legal teams.

Senior BI & Financial Data Developer

• Multi-Database Engineering: Engineered data solutions and analytics pipelines across diverse database enterprise architectures, including SSMS, Oracle, JDE, Snowflake, PostgreSQL, and BigQuery.
• Financial & Operational Dashboards: Developed backend SQL data models and interactive Tableau dashboards for 100+ strategic financial and operational analyses, partnering across Marketing, Operations, Sales, and Growth.
• Automated Reporting Workflows: Constructed SQL scripts and VBA automation routines to streamline repetitive reporting processes, presenting accurate financial performance metrics to executive stakeholders.

Lead BI & Data Automation Consultant | Physician Compensation Pipeline

• Healthcare Data Automation: Designed and deployed end-to-end provider compensation automation covering 40+ physicians across 2 payment types, 30+ contract start dates, multiple RVU tiers, CPT code modifiers, and annual/quarterly/monthly bonus schedules.
• Process Optimization (93.5% Cycle Reduction): Reduced total physician compensation processing time from ~800 manual minutes to just 52 automated minutes per cycle—achieving 100% processing accuracy (0 errors) consistently over a 3-year period.
• Full-Stack Data Engineering: Created SQL Server Agent jobs to regularly ingest CMS Relative Values and apply internal modifiers; staged refined tables into PowerBI and Tableau dashboards with automated PDF and Excel report generation.

Juris Doctor (JD – Law What is the difference between a good and bad lawyer? A bad lawyer might drag your case on for years. A good lawyer WILL drag your case on for years. ) | Corporate & Health Law

Only student of 225 to graduate with dual degree in 2.5 years

1 of only 10 students to graduate early

Interesting: In early 2015, I wrote a Global Biosecurity paper suggesting that prophylactic research on dangerous/weaponized diseases (the exceptions provided by the Geneva Convention for bioweapons) posed a significant risk to the human population, and that greater international oversight/data sharing on research was necessary to prevent serious adverse events like outbreaks or epidemics.

Master of Business Administration (MBA)

Graduate degree in business administration focused on strategic management and organizational leadership.

Interesting: In 2014, I presented to my Informations Systems class about a proposed "computer program trained on interrelated words in the English dictionary to derive context" that could understand legal claims based on the language someone presented, guide them in what they needed to do, and forward them to a practicing attorney if the law was too complex.

Bachelor of Science | Business Management / Administration

Undergraduate degree in Business Management / Administration with a minor in Chemistry.

Interesting: I took Physical Chemistry (among others) and calculated the difference in temperature from the top of a waterfall and the bottom of waterfall by using heat capacity of water and kinetic/potential energy conservation.