Unifying Data Engineering, Advanced Analytics, and Operational Strategy to Modernize Business Solutions
Hello! I'm Richard Jones — an Operations Specialist, Data Engineer, Data Analyst, and full-stack developer who thrives on harnessing data to push boundaries and drive efficiency. From large-scale operations and compliance to AI-driven solutions and real-time analytics, my background covers a diverse range of industries, including Banking, Government, and Freelance Consulting.
AI consulting and integration: connecting models, data, browser experiences, and business workflows into useful systems.
A service-business website and scheduling workflow built with Google Sheets and Apps Script, connecting pet-waste cleanup services, appointments, and Calendar integration.
Learn MoreDemonstrates the extensibility of Kepler.gl within Google Web Apps. Features dynamic data loading from Sheets and interactive mapping, perfect for geospatial analytics.
A specialized route-planning tool that factors altitude thresholds, assisting divers, aviators, and altitude-sensitive users in safe and efficient route mapping.
Uber: six years on the original timeline, including machine-learning model work, global analytics, and backend analytics tables built with Hive. Commercial consulting also included technology, analytics, and business-development work for clients.
Reciprocity Health: lead engineering work connecting healthcare workflows, data, and practical software delivery.
Worked with Bank of America as a Senior Operations Analyst and with JPMorgan Chase in financial-services technology and analytics. The work included fraud operations, forecasting, process redesign, secure data integration, and disciplined delivery.
Advised technology and commercial clients on analytics, workflows, websites, branding, and growth, including consulting for a commercial weed-delivery company and other small businesses.
Vangent: contractor analytics involving Medicare, Medicaid, Faisac, and the CDC. The work required accuracy, compliance, process discipline, and clear evidence.
Red-teamed foundational models, built data pipelines and dashboards, supported legal technology and paralegal workflows, interrogated evidence with ML-assisted tools, and delivered full-stack systems that connect technical ideas to practical outcomes.
This supplemental view adds context to the live Google Sheets timeline. Richard has worked across commercial technology, healthcare, government contracting, banking, legal technology, and independent consulting, moving between operations, analytics, engineering, and business delivery.
That range is the through-line: understand the operating problem, build the data and software around it, and leave people with a system they can actually use.
Worked with machine-learning models in a high-volume commercial environment.
Built backend tables for analytics using Hive.
Worked with analytics at the scale of Uber's global business.
Led engineering work across healthcare workflows, data systems, and practical software delivery.
As a Vangent contractor, worked on analytics involving Medicare, Medicaid, Faisac, and the CDC, where accuracy, compliance, and evidence mattered.
AI and analytics consulting, legal-technology and paralegal work, full-stack delivery, branding, and business strategy for clients.
Led operational improvements in a high-volume fraud environment, including forecasting, staffing coordination, process redesign, and systems work that made complex operations easier to run and measure.
Uber is shown as one connected company chapter so the progression is easy to read: operations foundation, analytics and systems, then global analytics work at exceptional scale.
Delivered projects across artificial intelligence, technical consulting, paralegal support, business development, branding, and full-stack web development.
At Bank of America, I worked across fraud operations, forecasting, staffing, and process improvement. The role combined operational judgment with analytical systems work: making complex workflows measurable, improving coverage, and helping teams act on better information.
Delivered projects across AI, technical consulting, legal support, business development, branding, and full-stack web development. Work included red-teaming foundational models, building analytics tools, designing data pipelines, and helping small businesses turn technical ideas into useful products.
Industrial electrical engineering and journeyman work that grounded my later software and analytics work in physical systems, field execution, troubleshooting, and safety-minded problem solving.
I built Dom to make working with data a little more approachable. He's a small AI experiment, a guide to this page, and occasionally the reason it's raining hotdogs.
Same canvases, real numbers. The eyes become bars and the smile becomes a trend line.
| Year | Share |
|---|---|
| 2021 | 56% |
| 2022 | 50% |
| 2023 | 55% |
| 2024 | 78% |
| 2025 | 88% |
Cross-industry survey results, not a census of all businesses or an industry-by-industry breakdown. Samples vary by year. Source: Stanford AI Index 2026, figure 4.3.1, drawing on McKinsey's annual surveys. Historical data, not a live feed.
Activate Dom, then ask a short question or try making it rain hotdogs. Connect a public Google Sheet or use the sample data to explore his analytics tools. Keep requests small while I'm improving the model.
The chart button above works without downloading the model. It's a quick look at how his face is made.
Your browser downloads my trained model from Hugging Face, about 770 MB. After that, the model runs on your device rather than sending your prompts to a hosted chat service. The first load can take a while, and a capable computer will have an easier time than a phone.
Loading the model and connecting a public sheet still use the internet. Don't put private information in a publicly shared sheet.
I wanted the data to have a little personality. His eyes and mouth use Chart.js, the same library that draws the bars and trend line. He looks thoughtful while working and moves his mouth as his reply arrives. There's no voice yet.
I plan to add voice and train Dom with more analytics tools, so he can help explore data and explain what he finds. Those are next steps, not features I'm claiming are finished.
He's still an experiment. He can get things wrong, so check anything important. I'd rather show you what I'm building honestly than pretend it's a finished product.
See the trained model and its limitationsDevising advanced analytics strategies and refining business roadmaps to harness data-driven opportunities and fuel sustainable expansion.
Selecting, shaping, and integrating practical AI systems into real workflows. Related skills include LLM evaluation, prompt and system design, local-first inference, browser AI, data grounding, and API integration.
Building secure, user-centric applications and websites using modern frameworks to elevate your digital presence.
Designing end-to-end automation scripts, cloud integrations, and processes to reduce overhead, boost efficiency, and scale effortlessly.
Whether you need AI consulting and integration, advanced data engineering, a strategic AI-driven application, or streamlined process automation, I'm ready to help bring your ideas to life. Feel free to reach out for a conversation or a potential collaboration.
Tell Richard what you are trying to improve. He can help scope an analytics, AI integration, web, or automation project and suggest a sensible next step.
Request a consultation time Request an interviewThis static GitHub Pages site opens an email request. A public appointment URL or server-side calendar integration can be added later without exposing private credentials.
Payment can be arranged through Cash App, Venmo, Wise, Vigo, YourSafe, Resolute, Bitcoin, or Chime. Ask for an invoice or the current public receive link for the method you prefer.