Clean data first. Forecasting next.
We harden your data platform — then build the forecasting systems that actually use it. Two stages, one partner.
Proven Impact
$4M Annual Efficiency
Optimized automated model pipelines at Amazon, maintaining and scaling infrastructure for 200+ time series forecasting models across product lines.
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.
How It Works
Data Platform & Hardening
You can't forecast on bad data. Before anything else, we get your data infrastructure reliable, version-controlled, and queryable.
- 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
With a clean foundation in place, we build forecasting systems that produce decisions you can actually trust.
- 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 sitting on data they can't fully trust yet. Typically companies that know they need better infrastructure before they can do anything meaningful with analytics or AI.