Data systems built for scale.
Fractional data team services for healthcare and finance companies — from cloud data infrastructure to demand forecasting and predictive analytics.
No full-time hire needed. Senior-level execution on the problems that matter.
Proven Impact
$4M Annual Efficiency
Optimized automated model pipelines at Amazon, maintaining and scaling infrastructure for 200+ time series forecasting models across supply chain operations.
Financial Reporting Modernization
Migrated legacy Postgres environments to version-controlled Snowflake/dbt architectures, eliminating reporting inconsistencies and cutting time-to-insight.
$1.5M in Claims Recovery
Uncovered $500K in outstanding claims using TBATS decomposition and GESD anomaly detection, and identified $1M+ in insurer payment drops via a Tableau dashboard deployed across monthly financial close.
Data & Analytics Engineering
- 01Cloud Warehousing: Snowflake, Redshift, and S3 architecture design and migration.
- 02Modern Tooling: Production-grade dbt implementation and AWS Lambda automation.
- 03Governance: Version-controlled pipelines and Single Source of Truth data models.
Forecasting & Predictive Analytics
- 01Time-Series: Advanced modeling (TBATS, GESD) for demand forecasting and anomaly detection.
- 02Predictive Models: Customer demand, churn, and revenue forecasting tailored to healthcare and finance contexts.
- 03Economic Analysis: Graduate-level econometric modeling applied to real business decisions.
Who I Work With
Healthcare and finance teams that need senior data expertise without the overhead of a full-time hire. Typically series A–C companies, regional health systems, or finance operations outgrowing spreadsheets.