Okay so, you're probably clicking through a bunch of city pages, trying to figure out who actually does what they say they do. Here's the deal: I'm not a big agency with a fancy sales team. It's just me. I handle everything from understanding your problem to building the models and making sure they actually deliver value. My goal isn't to sell you some massive, never-ending project. It's to find a specific, impactful way Machine Learning or Data Science can help your Portland business, get it built, and get it working. I'm all about practical applications, not just academic exercises. If you've got a pile of data and a problem you think ML might solve, we should talk. I'll tell you straight if I think I can help, or if I'm not the right fit.
## What I actually do for Portland clients
Most of my work for Portland businesses falls into a few buckets. Sometimes it's about taking a look at your existing data and finding patterns you're missing — things that can inform better decisions, predict future trends, or identify bottlenecks. Think customer churn prediction, sales forecasting, or optimizing inventory levels. I'm pretty good at digging into messy datasets and making sense of them, turning raw information into actionable insights. It's not magic, just careful analysis and the right algorithms.
Other times, it's about building a specific Machine Learning model to automate a task or improve an existing process. Maybe you want to automatically categorize incoming customer inquiries, personalize recommendations on your e-commerce site, or detect anomalies in your operational data. I'll design, build, and deploy these models, making sure they integrate cleanly with your current systems. I aim for solutions that are robust enough to run on their own, giving you real, tangible results without constant hand-holding.
## How a Portland engagement usually goes
1. **Discovery Call (Week 1):** We start with a 20-minute chat, no obligation. You tell me about your business and the problem you're trying to solve. I'll ask some questions to understand the data you have, or could get. This is where I figure out if I can genuinely help you. If it looks like a good fit, I'll propose a more in-depth paid discovery phase. 2. **Deep Dive & Proposal (Weeks 2-3):** For a small fixed fee, I'll spend a few days really digging into your data and your processes. This helps me understand the scope, the challenges, and the potential solutions. At the end of this, I'll give you a clear, fixed-price proposal for the actual project, outlining exactly what I'll deliver, the timeline (usually 4-12 weeks), and what you can expect. 3. **Project Execution (Weeks 4-12+):** This is where I build the model, clean the data, write the code, and set everything up. I'll keep you updated regularly, showing you progress and getting your feedback. My focus is on getting a working solution into your hands as quickly as possible, iterating as needed. 4. **Deployment & Handoff (End of Project):** Once the solution is built and tested, I'll help you deploy it. This could mean integrating it with your existing software, setting up dashboards, or training your team on how to use it. My goal is for you to have a solution that delivers value long after I'm done with the project.
## What it costs, roughly
I prefer fixed-fee pricing for most projects once the initial discovery is done. This way, you know exactly what you're paying and what you're getting. For a typical Machine Learning or Data Science pilot project — something that proves the concept and delivers initial value — you're generally looking at costs in the mid-four to low-five figures. More complex, long-term engagements will, of course, be more. I'm always upfront about costs, so there are no surprises. No hidden fees, no endless hourly billing. I'm not the cheapest option out there, but I deliver real results.
## Who I'm usually NOT a fit for
I'm probably not the right choice if you're a massive corporation looking for a large team to manage a multi-year, multi-million dollar digital transformation. That's just not what I do. I also won't be a good fit if you're looking for someone to just throw buzzwords around and not actually build anything. And, honestly, if you don't have *any* data to work with, or if your data is locked away in a dozen inaccessible systems, we might need to address that first before we can talk about Machine Learning. I excel with businesses that have a clear problem and some existing data, even if it's messy.
## Getting in touch
If you're a Portland business owner and you're curious about how Machine Learning or Data Science could make a real difference for you, let's talk. I'm always happy to hear about new challenges and see if I can lend a hand. Just hit the button below to book a 20-min call. It's a quick, no-pressure way to explore the possibilities.
FAQs — Portland
How do I know if AI is worth it for my Portland business?
The best way to figure that out is a quick conversation. I usually look for specific problems you're trying to solve, like improving efficiency, predicting sales, or understanding your customers better. If you have data related to that problem, chances are AI can offer some value. I'll tell you honestly if I don't think it's a good fit.
Do you only work with companies in Portland, Oregon?
While I enjoy connecting with businesses in specific cities like Portland, I'm a solo operator based in Florida, so I work with clients remotely across the US. My focus is on delivering value, regardless of your physical location.
What does the first 2 weeks of an engagement usually look like?
After an initial chat, if we decide to move forward, the first two weeks typically involve a paid deep-dive. I'll work with you to understand your data, your systems, and the precise problem we're trying to solve. At the end of this phase, I'll provide a clear, fixed-price proposal for the main project.
I have some data, but it's really messy. Can you still help?
Absolutely. 'Messy data' is pretty standard in the real world. A significant part of Machine Learning and Data Science work involves cleaning, structuring, and preparing data so it can be used effectively. I'm used to dealing with imperfect datasets.
Will I own the Machine Learning models you build for my business?
Yes, once a project is completed and paid for, you will have full ownership of any custom Machine Learning models, code, and insights developed specifically for your business. My goal is to empower you with these tools.