Econometrics · Decision Systems · Operational Intelligence
I build the systems between
your data and your decisions.
For organizations where decisions are still trapped in spreadsheets, manual processes, or people's heads — I design the infrastructure that makes execution automatic, logic explicit, and outcomes measurable.
Deployed across domains.
Measured in outcomes.
Epidemiological reporting infrastructure for the European Centre for Disease Prevention and Control. Production systems serving continental-scale public health operations.
Predictive intelligence and econometric modeling across US agrochemical and animal health markets. From hypothesis to production deployment.
Marketing mix models and capital allocation analytics for multinational pharmaceutical and FMCG clients. Cross-market decision frameworks.
Decision automation replacing manual workflows. Modeling time reduced from weeks to hours. Reporting cycles eliminated entirely through embedded execution logic.
Systems thinking.
Not tool thinking.
Analytics without execution is overhead. I design systems where decisions are embedded in logic — not dependent on people remembering, on spreadsheets being updated, or on analysts being available.
Manual processes do not scale. Systems do.
Every hour spent copying data between spreadsheets is an hour not deciding. The constraint is never the data — it is the execution gap between analysis and action.
The goal is decision velocity, not data visibility.
Dashboards create visibility. Systems create velocity. The difference is whether someone still needs to act on what they see, or whether the logic already executes.
Reliability over novelty. Every time.
Production systems must survive scale, audits, personnel changes, and organizational evolution. I build for durability — not demonstrations.
What gets deployed.
Decision Automation
Operational workflows where logic executes without manual intervention. Replacing spreadsheet-driven processes with embedded decision systems that scale with the organization.
Econometric Systems
Marketing mix models, demand estimation, time series forecasting. From hypothesis to production — deployed across markets, validated at scale, integrated into decision flows.
Data Infrastructure
Production pipelines: automated ingestion, transformation, and ML-based forecasting. Clean data, on schedule, zero manual intervention. Engineered for reliability under real operational load.
Operational Intelligence
Purpose-built tools that replace manual analysis with embedded logic. Not generic dashboards — decision instruments designed for specific operational contexts.
Finance · Public Health · Agriculture · Logistics · SaaS
Writing
On systems engineering, analytics, networks, and decision systems.
Designing for Non-Technical Users Without Dumbing Down the Analytics
A series on the architecture, methods, and mindsets behind building analytical systems that actually drive decisions.
Read article → 2026-03-04The Difference Between a Report and a Decision Tool
A series on the architecture, methods, and mindsets behind building analytical systems that actually drive decisions.
Read article → 2026-03-03Why Most Analytics Projects Fail Before They Start
A series on the architecture, methods, and mindsets behind building analytical systems that actually drive decisions.
Read article →Selective engagements.
Results over volume.
If your organization needs decision infrastructure — not a dashboard, not a report, but a system that executes — describe the problem below.