AVAILABLE FOR Q3/Q4 2026 DATA SYSTEMS ENGAGEMENTS
I build validated data dashboards, risk engines, and automated reporting systems for B2B teams.
Polars · DuckDB · Pydantic v2 · Gemini 3.5 Flash · Streamlit
📧 Request a Data Systems Audit
Watch: Supply Chain Risk Engine — supplier risk scoring, disruption simulation, and executive PDF reporting.
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🌐 Risk Intelligence Dashboards Supply chain, infrastructure, and operational risk systems that fuse multiple signals into decision-ready risk views. |
🛡️ Data Quality & Governance Tools Automated data profiling, anomaly detection, quality scoring, and one-click remediation workflows. |
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🤖 AI-Validated Reporting Systems Gemini-powered structured output validated with Pydantic contracts before it reaches users, dashboards, or reports. |
⚡ High-Performance Data Pipelines Polars and DuckDB pipelines that clean, normalize, aggregate, and prepare operational data for reliable analytics. |
Selected production-oriented systems demonstrating risk intelligence, data governance, revenue analytics, and infrastructure monitoring.
Business Problem
Procurement and operations teams often cannot see which suppliers create geographic, delay, or financial exposure until a disruption has already happened.
Business Outcome
Weighted supplier risk scoring, disruption scenario simulation, intelligence feed, weather monitoring, and one-click executive PDF reporting.
Technical Proof
Polars · DuckDB · Streamlit · Plotly · FPDF2 · 20 passing tests · CI on Python 3.12 / 3.13
Repository · Demo Video · Live Demo
Business Problem
Teams often accept dirty data until dashboards break, reports become unreliable, or downstream analytics produce misleading results.
Business Outcome
Automated data quality scoring, anomaly detection, issue severity ranking, and one-click remediation for completeness, uniqueness, consistency, and outlier issues.
Technical Proof
Streamlit · Polars · DuckDB · Plotly · Weighted 4-dimension quality scoring · Glassmorphic enterprise UI
Business Problem
Sales leaders often depend on spreadsheets or expensive BI subscriptions to understand revenue, pipeline, regional coverage, and rep performance.
Business Outcome
CRM CSV upload becomes a secure analytics terminal with revenue KPIs, regional heatmap, pipeline funnel, and rep performance leaderboard.
Technical Proof
Polars · DuckDB · Streamlit · Plotly · 200K-row performance benchmark · SHA-256 login gate
Repository · Demo Video · Live Demo
Business Problem
Cloud and infrastructure teams rarely have one unified view connecting subsea cable health, marine weather, conflict signals, and cloud region risk.
Business Outcome
Multi-signal risk fusion with a dark command-center map, external intelligence monitoring, and Gemini-generated structured risk briefs.
Technical Proof
DuckDB GEOMETRY · H3 · Polars · Pydantic v2 · Gemini 3.5 Flash · Folium · 37 passing tests · CI
These systems are built to production standards — not prototype standards.
| 🧪 Tested | ⚙️ Continuous Integration | 🔒 Schema-First Validation | 🧱 Resilient by Design |
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| 75+ automated tests across production-oriented repositories | GitHub Actions runs on every push | Pydantic v2 contracts on every data boundary |
Quarantine — not crash — on malformed data |
pytest · pytest-mock · pytest-cov |
Python 3.12 / 3.13 matrix builds | No raw LLM output reaches the UI | Classified errors, never raw stack traces |
Every flagship system follows the same validated pipeline:
Raw Input
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Edge Validation — Pydantic v2
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High-Performance Processing — Polars + DuckDB
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Structured AI Enrichment — Gemini 3.5 Flash
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Decision-Ready Dashboard — Streamlit
Why this matters for your business:
- Data is validated before it is trusted
- AI output is schema-checked before it is displayed
- Failures are classified and contained, not catastrophic
- Every system is testable, maintainable, and auditable
I build custom data systems for B2B teams that need reliability, validation, and clear architecture — not throwaway scripts.
| 1. Audit | 2. Build | 3. Retainer |
|---|---|---|
| Data Systems Diagnostic | Fixed-Scope Delivery | Ongoing Evolution |
| Scope, risks, and architecture recommendation | Custom dashboard, risk engine, or reporting system | New features, monitoring, and maintenance |
$4,000 – $12,000 per fixed-scope build
$1,500 – $5,000 per month retainer
- ✅ Risk Intelligence Dashboards
- ✅ Data Quality & Governance Tools
- ✅ AI-Validated Reporting Systems
- ✅ Automated Data Pipelines
- ❌ You need a one-off script with no testing
- ❌ You want the cheapest option available
- ❌ You need a full-time embedded hire
📧 Request a Data Systems Audit
I will review your current data workflow and recommend the right architecture.