Okay so, you’ve landed on another city page. I get it. Most of them are pretty much the same: lots of big promises, not a lot of specifics. My guess is you’re a business owner or manager in Cleveland who’s heard about machine learning, maybe you've got some data, and you’re wondering if there’s a way to use it to, well, make more money or stop losing it. Good instincts. That's usually where I come in.
I run a solo operation, A.I. Consulting LLC, and I work directly with folks like you. No big teams, no fancy offices. Just me, focused on getting you some real answers and, if it makes sense, building something that actually works. I'm not here to sell you a dream; I'm here to see if we can solve a specific problem with the tools available. Sometimes that's machine learning, sometimes it's just better data organization. Either way, my goal is to deliver something tangible.
## What I actually do for Cleveland clients
Most of my projects involve taking a look at a specific business process or a dataset and seeing if there's a pattern we can exploit. For example, maybe you're a manufacturer in Cleveland and you've got tons of sensor data from your machines. I could help you build a predictive model to flag equipment that's likely to break down *before* it actually breaks, saving you a bunch of unplanned downtime. Or perhaps you're in retail, and you want to understand why certain customers churn, so we build a customer segmentation model to target retention efforts.
Another common scenario is automating repetitive, data-driven tasks. Think about sifting through endless spreadsheets to identify trends or manually categorizing customer feedback. I can often build small, custom machine learning models or data pipelines that do that work for you, freeing up your team to focus on things that actually require human brains. It's about getting computers to do the boring stuff so your people can do the interesting stuff, and ultimately, make your Cleveland business more efficient.
## How a Cleveland engagement usually goes
1. **Initial Chat (1 week):** We'll have a couple of calls, maybe exchange some emails. You tell me what keeps you up at night, what problems you're trying to solve. I ask a lot of questions about your business, your data (what you have, what you don't). No charge for this part. It’s just me trying to figure out if I can genuinely help. If I can't, I'll tell you straight. 2. **Discovery & Proposal (2-3 weeks):** If it looks like there's a good fit, I'll dive a little deeper. This might involve looking at some sample data (anonymized, of course) or doing some preliminary research into your industry's specific challenges. Then I put together a clear, fixed-price proposal outlining the problem, the proposed solution, what you'll get, and a timeline. No surprises here. 3. **Project Execution (4-12 weeks):** This is where I build the thing. It could be a machine learning model, a data analysis report, or a small automation tool. We'll have regular check-ins, usually weekly, to review progress and make sure we’re still on track. Your input is crucial here. I'm not just building in a vacuum. 4. **Delivery & Handoff (1 week):** I deliver the solution, provide any necessary documentation, and walk you through how to use it. If it's a model, I'll show you how to interpret its outputs. If it's an automation, I’ll explain how to run and maintain it. My goal is for you to be able to use what I build, not to make you dependent on me forever.
## What it costs, roughly
Alright, let's talk brass tacks. I don't charge hourly; I prefer fixed-fee projects. Why? Because you know exactly what you're getting and what you're paying for from day one. Most of my machine learning and data science projects for small to medium businesses in Cleveland tend to fall in the range of `$[X]` to `$[Y]`. The exact figure depends on the complexity of the problem, the amount and cleanliness of your data, and the scope of the solution. It's a commitment, but it’s a commitment to a specific outcome, not just a time sink. I’ll give you a precise quote after our discovery phase.
## Who I'm usually NOT a fit for
Look, I'm not for everyone. If you’re a massive corporation with an internal data science team already, I’m probably not your guy. If you’re looking for someone to build a 'general AI strategy' without a concrete problem in mind, that’s also not really my bag. I excel at solving specific, well-defined problems with data. I'm also not going to promise you overnight miracles or 'skyrocket' your profits in a week. Real data work takes time and effort. I also won't take on projects that require massive, dedicated engineering teams; I'm a solo operator, remember? If you need a team of 20, I'm just not the right fit for your Cleveland-based business.
## Getting in touch
If any of this sounds like it might be what you’re looking for, or if you just want to kick around an idea, don't hesitate. The worst that can happen is we figure out I’m not the right person, and you’ve lost nothing. The best? We find a way to make your data work smarter for your business. Go ahead and book a 20-min call. I'm usually pretty quick to respond.
FAQs — Cleveland
How do I know if Machine Learning or Data Science is worth it for my Cleveland business?
The best way to figure this out is to look for a specific problem that involves a lot of data, repetitive decisions, or patterns you're trying to spot. If you've got that, there's a good chance we can explore a solution together.
Do you only work with businesses in Cleveland, Ohio?
While I tailor these pages for specific cities like Cleveland to help local businesses find me, I work remotely with clients across the U.S. My base is in Florida, but location isn't a barrier for most projects.
What does the first 2 weeks of working with you look like?
The first two weeks usually involve a few detailed conversations to understand your business and problem. I'll also start some preliminary research and review any anonymized data you might have, all leading to a clear project proposal.
What kind of data do I need to have for you to help?
You don't necessarily need 'perfect' data. Often, I start with what you have: spreadsheets, database exports, system logs. The key is usually having *some* historical information related to the problem you want to solve.
What if I don't know exactly what I need, just that I have a problem?
That's perfectly normal, and often the best place to start. Many clients come to me with a business pain point, not a specific technical request. My job is to help translate that into a potential machine learning or data science project.