Data & AI consultancy

The data layer
your business needs.
Built by one person,
faster than you think.

I embed in your domain for 60–90 days and build the analytical tools your operators need — without a team, without the timeline.

What I build

Three things I ship

Purpose-built for operators who know their domain but can't afford a full data team.

Domain intelligence tools

I learn your industry, then build tools that make your operators smarter at their actual job. Not generic dashboards — purpose-built systems for how your team actually works.

AI-powered applications

Full-stack web apps with embedded AI workflows, shipped in weeks. Predictive scoring, automated reporting, live analytics platforms.

Data infrastructure

Pipelines, warehouses, and automated data layers that connect your fragmented systems into one source of truth your team can actually query.

Clients & industries

Where I've shipped

Deep embed in four domains. Operator-literate, not vendor-agnostic.

Solar & renewable energy

  • Pipeline forecasting
  • Installer performance analytics
  • Equipment demand modeling
  • Cycle time optimization

Financial services

  • Loan analytics
  • Risk modeling
  • Deal screening automation
  • Portfolio grading systems

Sports analytics

  • Play-by-play ETL
  • Coach tendency profiling
  • Live scoreboard pipelines
  • Drought / momentum modeling

Ranching & ops

  • Financial models
  • Syndication tracking
  • Workflow automation
  • Investor reporting
Case studies

Real results from real projects

Kuska Autism Services

Challenge

Staff running the same manual workflows 15 minutes at a time, plus a monthly process that consumed a full hour to harden.

Solution

Mapped and automated the three workflows — eliminating manual steps and hardening the monthly process into a repeatable, fast routine.

Result

Daily processes: 15 min → <5 min each. Monthly hardening: 1 hr → 20 min.

Process automationPythonWorkflow design

Solar installer forecasting

Challenge

No visibility into future installation completions.

Solution

Built forecasting system with user-controllable conversion rates, seasonality, and growth factors.

Result

6-month forward visibility per installer.

DOMOETLForecasting

MCA loan analytics

Challenge

Manual reconciliation and no risk visibility.

Solution

Automated grading system with ROI scoring and correlation analysis.

Result

Real-time loan tracking + default prediction.

PythonSupabaseHubSpot

Unified operations dashboard

Challenge

Data scattered across CRM, accounting, and ops systems.

Solution

Single data layer connecting QuickBooks, HubSpot, and custom APIs.

Result

One source of truth for executives.

GCPBigQueryLooker
How it works

60 – 90 days, start to ship

01

Embed

First week: I sit with your operators and learn how work actually flows.

02

Map

Diagram the systems, the data, the stuck places. Pick one painful thing to fix first.

03

Ship

Weeks 2–8: build, test, and deploy. Demo every Friday. No ceremony.

04

Hand off

Docs, runbook, and training. Your team owns it when I leave.

05

Stay close

Optional retainer for iteration. Most clients keep one.

David Hyde
About

One operator. Four domains. Ten years of shipping.

I'm David Hyde. Senior data scientist turned one-person shop. I've built internal tools across solar, financial services, sports analytics, and ranching — the kind of tools operators actually open before their first meeting.

I don't do decks. I write the pipeline, ship the dashboard, and train your team to own it. When I leave, the tool stays.

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Get in touch

Have a painful data problem? Let's see if I can ship through it.

Free 30-minute data audit. Bring the ugliest part of your stack.