Okay so, you’re looking into machine learning or data science for your business here in Baltimore. Maybe you've got a pile of data and no idea what to do with it, or maybe you've heard AI can automate something you're doing manually. Either way, I'm guessing you're looking for someone who can cut through the noise and just tell you what's possible and what isn't.
I'm not a huge agency with a fancy downtown Baltimore office (though I do love visiting the Inner Harbor). I'm one person. That means you get direct communication, no layers of account managers, and a clear understanding of what's happening. I’ve been doing this for a while, and my goal is always to deliver something that actually works, solves a real problem, and provides a clear return on your investment, not just a flashy demo that doesn't go anywhere.
## What I actually do for Baltimore clients
When a Baltimore client comes to me, it's usually because they have a specific, measurable problem. Often it’s about making predictions: predicting customer churn, forecasting sales, or identifying potential fraud. Other times, it's about optimizing processes, like sorting customer inquiries or automating data entry that’s currently a huge drain on resources. I've worked on projects ranging from building predictive models for inventory management to setting up automated systems that classify incoming emails, saving hours of manual work.
Think of it less as 'implementing AI' and more as 'building a smarter tool.' I'll help you figure out if a machine learning model can actually improve your operations, then I’ll build that model. This often involves cleaning up existing data, experimenting with different algorithms, and then deploying the solution in a way that’s actually usable by your team. It's about getting a concrete outcome, not just a theoretical one.
## How a Baltimore engagement usually goes
1. **Initial Chat & Problem Definition (1-2 weeks):** We'll start with a 20-minute call, no charge. If it sounds like I might be able to help, I'll put together a short proposal outlining the problem as I understand it, the data we'd need, and what success would look like. This phase is all about making sure we're on the same page and that your problem is a good candidate for a machine learning approach. If it's not, I'll tell you then.
2. **Data Deep Dive & Proof of Concept (3-6 weeks):** Once we agree on a plan, I'll dig into your data. This involves a lot of back-and-forth, cleaning, and understanding what you’ve got. I'll then develop a small-scale model, a 'proof of concept,' to see if the approach actually works and if we can get the desired accuracy or impact. This step is crucial for de-risking the project before committing to a full build.
3. **Model Building & Refinement (4-8 weeks):** If the proof of concept looks good, I'll move into building the full solution. This means more rigorous model training, testing, and iterating based on real-world feedback. I'll be communicating with you regularly, showing progress, and explaining what's working and what isn't. My goal here is a robust, well-performing model.
4. **Deployment & Handoff (2-4 weeks):** The final stage is getting the solution working within your existing systems. This might involve setting up APIs, integrating with your software, or providing clear instructions for your team to use the new tool. I’ll make sure you understand how it works and what you need to do to maintain it. I'm not just handing you a model; I'm helping you put it to work.
## What it costs, roughly
Look, I know this is important. Pricing for machine learning and data science projects isn't like buying a toaster. It depends heavily on the complexity of the problem, the state of your data, and what exactly we’re building. However, I almost always work on a fixed-fee basis for defined projects. That means no surprises. My projects typically start in the mid-four figures and can go up to the low six figures for more complex, longer-term engagements. I’ll give you a clear quote upfront once we’ve defined the scope.
## Who I'm usually NOT a fit for
I want to be upfront about this. I'm probably not the right fit if you're looking for someone to staff a large internal data science team for months on end. I'm also not for you if you're just looking for 'AI for AI's sake' without a clear business problem in mind. If you don't have *any* data to work with yet, or if your data is in absolute chaos and requires a massive data engineering effort before any modeling can happen, I might recommend starting with someone else to get that foundational work done first. I also tend not to be a fit for huge, Fortune 500 companies with rigid procurement processes; I work best with businesses where I can connect directly with decision-makers.
## Getting in touch
If you're a business in Baltimore, Maryland, and you've got a specific challenge you think machine learning or data science might help with, or even if you just want to kick the tires on an idea, let's chat. I promise a straightforward conversation, no jargon, and an honest assessment of whether I can help. The first step is easy: just book a 20-min call.
FAQs — Baltimore
How do I know if AI is worth it for my Baltimore business?
The easiest way is to think about repetitive tasks, decisions based on patterns, or areas where you wish you had better foresight. If you're manually sifting through lots of data or making educated guesses where a prediction could help, it might be worth exploring. I can help you figure out if it makes sense during our initial conversation.
Do you only work with companies in Baltimore?
No, I work remotely with businesses across the U.S. I use 'Baltimore' in the page to help local businesses find me and understand I'm addressing their specific needs, but my services are available to anyone who needs them, regardless of location.
What does the first 2 weeks look like after I've hired you?
Usually, the first couple of weeks are all about understanding your data. I'll need access to your relevant datasets, and we'll have a few calls to discuss the data's structure, any anomalies, and clarify the exact business problem we're trying to solve. It's a discovery phase to ensure we're building the right thing.
What kind of data do you need for a project?
It really depends on the project. Generally, I need historical data that's relevant to the problem you're trying to solve. For instance, if you want to predict sales, I'd need past sales figures, marketing spend, seasonality, etc. The cleaner the data, the faster we can get to building a solution, but I can help with cleanup too.
Will I own the machine learning models you build for my Baltimore business?
Yes, absolutely. Once the project is complete and payment is made, you will own all the intellectual property, including the code, models, and any documentation created during our engagement. My goal is to deliver a solution that you can use and maintain independently.