Okay so, you're probably tired of all the corporate jargon and vague promises out there. I get it. I’ve seen enough “future of AI” presentations to last a lifetime. My name is [Your Name/Company Name], and I run A.I. Consulting LLC. When it comes to Machine Learning and Data Science, I focus on practical, concrete steps that help Orlando businesses actually get stuff done.
I’m not gonna pretend I’m a huge agency with a hundred employees. It’s just me. That means when you work with me, you’re talking directly to the person doing the work. No account managers, no layers. Just me, and my brain, focused on your project. I’ve been doing this a while, and my goal is always to deliver something useful and understandable, without all the usual fuss you find in the AI world. It's kinda my neighborhood shop approach to tech consulting.
## What I actually do for Orlando clients
Most of my work for Orlando clients falls into a few buckets. Sometimes it’s building a predictive model to help with sales forecasting, figuring out customer churn, or optimizing inventory levels. I'll take your existing data, clean it up, and then build a model that gives you some actual insights, not just pretty charts. Think things like 'What's the likelihood this customer will buy again?' or 'Which products should I stock more of next quarter?'
Other times, it’s about automating a manual process with some Machine Learning smarts. Maybe you're manually sorting customer feedback or categorizing incoming emails. I can help set up systems that learn to do that for you, freeing up your team for more important things. I focus on pilot projects that can show a clear return, usually within a few months, so you don't end up throwing money at something that doesn't work. We test, we learn, we refine. That’s how it goes.
## How an Orlando engagement usually goes
1. **Week 1-2: Discovery & Scoping.** This is where we talk, really talk, about your business, your data, and what problems you're trying to solve. I’ll ask a lot of questions. We’ll figure out if a Machine Learning or Data Science approach makes sense, and define a clear, small pilot project with measurable goals. By the end of this, you’ll have a clear proposal detailing what I’ll do, what you’ll get, and how long it should take.
2. **Week 3-6: Data Prep & Initial Model Build.** Once we agree, I'll dig into your data. This is often the messiest part, because real-world data is rarely perfect. I’ll clean it, structure it, and then start building the first version of the model or system. We’ll have regular check-ins so you can see the progress and provide feedback.
3. **Week 7-10: Testing, Refinement & Deployment.** We'll test the model with real or simulated data, identify any kinks, and refine it based on performance and your feedback. Once it's working well, I'll help you integrate it into your existing systems, even if it's just a simple dashboard or an automated report. The goal here is a working, useful solution.
4. **Ongoing Support (Optional):** After deployment, I'm available for ongoing maintenance, monitoring, or further enhancements. Sometimes the models need retraining as new data comes in, or you might want to expand its capabilities. We can discuss a separate retainer for that if it makes sense for your Orlando business.
## What it costs, roughly
I prefer fixed-fee projects whenever possible. It gives both of us clarity. For smaller pilot projects, you’re typically looking at something in the low-to-mid five figures, depending on complexity and data readiness. Larger, more involved projects that span several months could be more, but we'd always define that upfront. I'm not a fan of open-ended hourly billing because nobody likes surprises, especially when it comes to money. I'll give you a clear quote after our initial scoping, so you know exactly what you're getting into.
## Who I'm usually NOT a fit for
I’m pretty good at what I do, but I’m not for everyone. If you’re looking for a giant team of twenty consultants to come in and overhaul your entire company for a year, I’m probably not your guy. If you don't have *any* data to work with, or if your data is locked away in a system that’s impossible to access, that's a tough starting point too. And if you're looking for someone to promise you 'magic AI' that solves all your problems overnight without any effort on your part, well, that's not really how Machine Learning works, especially not here in Orlando.
I work best with small to medium-sized businesses in the Orlando area (and beyond, but I like working local!) who have a specific problem they think data or Machine Learning could help with, and who are ready to roll up their sleeves and collaborate. Practical, sensible businesses get the most out of working with me.
## Getting in touch
If any of this sounds like what you need, or if you just want to talk through an idea, I’d love to hear from you. The easiest way to get started is to book a 20-min call. No pressure, no sales pitch, just a chat to see if there’s a good fit. I’m looking forward to hearing about what you’re trying to build in Orlando, Florida.
FAQs — Orlando
How do I know if Machine Learning is worth it for my Orlando business?
The best way to figure this out is to think about repetitive tasks, decisions based on patterns, or areas where you wish you had better foresight. If you have data related to those, there's a good chance Machine Learning can help. A quick chat can usually clear things up.
Do you work with companies outside of Orlando, Florida?
Yes, absolutely! While I enjoy working with local Orlando businesses, my services are available to companies anywhere. Most of my work is done remotely, so location isn't usually an issue.
What does the first 2 weeks of an engagement look like?
The first couple of weeks are all about understanding your business and your data. We'll have several conversations to scope out a clear, manageable pilot project and agree on what success looks like. I'll produce a detailed proposal for your review.
I don't have a data scientist on staff. Is that a problem?
Not at all. Many of my clients don't have in-house data science expertise, which is why they hire me. I act as your fractional data scientist, guiding you through the process and building the solutions for you. That's kinda my whole job.
What kind of data do I need to get started?
Ideally, you'd have some historical data related to the problem you're trying to solve, perhaps in spreadsheets, databases, or existing systems. The more organized the better, but I can often help clean up messy data too. We'll assess your data readiness during our initial discussions.