Okay so, you're looking for help with machine learning or data science. Maybe you've got a pile of data and no idea how to make sense of it, or you've heard about AI and want to see if it can genuinely help your Fresno business. I'm not here to sell you on vague promises; I'm here to figure out if there's a concrete way to use these tools to solve a problem or create value for you.
I prefer to keep things simple, direct, and honest. You talk, I listen, and then I tell you what I think is possible, what isn't, and what it'll likely cost. No long sales cycles, just straightforward conversations.
## What I actually do for Fresno clients
Most of my work revolves around taking existing business data and turning it into something actionable. This could mean building a predictive model that forecasts demand for your products, automating a repetitive decision-making process using historical data, or even just helping you clean up and understand your data better so you can make more informed choices. For instance, I've helped a client identify patterns in their customer churn data, allowing them to proactively address issues before customers leave.
Another common project is setting up a pilot program. We pick one specific, well-defined problem – something that's causing you headaches or costing you money – and then I build a small, focused machine learning solution to address just that. This isn't about overhauling your entire operation; it's about proving the value of a specific AI application quickly, so you can see the results for yourself before committing to anything bigger.
## How a Fresno engagement usually goes
1. **Discovery Call (Week 1):** We'll hop on a 20-30 minute video call. You'll tell me about your business, the problem you're trying to solve, and what you're hoping to achieve. I'll ask some clarifying questions, and by the end, we'll have a good idea if I can help you.
2. **Proposal & Scoping (Week 2):** If it looks like a good fit, I'll put together a concise proposal. This will outline the specific problem we're tackling, the data I'll need, the expected outcome, and a clear fixed-fee price. We'll refine this until you're comfortable.
3. **Data & Development (Weeks 3-8, varies):** Once we're good to go, you'll provide access to the necessary data (securely, of course). I'll get to work building, testing, and refining the model or solution. I'll keep you updated with regular check-ins, usually weekly, so you always know what's happening.
4. **Delivery & Handoff (Week 8 onwards):** I'll deliver the working solution, along with clear documentation and, if needed, a demonstration of how to use it. My goal is for you to be able to understand and operate what I've built, even if you're not a data scientist yourself. I'm available for a few weeks post-delivery for any questions or minor tweaks.
## What it costs, roughly
I almost exclusively work on a fixed-fee project basis. This means you know the total cost upfront, with no surprises. For smaller, proof-of-concept projects, you're probably looking at a range somewhere between $7,000 and $15,000. Larger, more complex model development or integration projects can go from $15,000 up to $40,000, depending heavily on the scope and the amount of data work involved. I don't do hourly billing for projects because I think it breeds uncertainty, and nobody likes that.
## Who I'm usually NOT a fit for
I'm probably not the right choice if you're looking for an entire data engineering team or a full-time employee. My wheelhouse is specific project-based work. Also, if you don't have any existing data, or if your data is extremely messy and requires a massive cleanup effort before any analysis can even begin, it might be a tougher fit. I can certainly advise on data collection strategies, but I'm not a pure data entry or data cleansing service. Lastly, if your project needs a dozen people working on it simultaneously, I'm just one guy, so you'd be better off with a larger firm.
## Getting in touch
If anything I've said resonates, and you think there might be a practical application for machine learning or data science in your Fresno business, let's just chat. No pressure, no hard sell. I'm just looking to have a real conversation about your needs. The easiest way to start is to book a 20-min call right from my website.
FAQs — Fresno
How do I know if machine learning or data science is worth it for my Fresno business?
The best way to figure this out is to identify a specific pain point or an area where you have a lot of data but aren't using it effectively. If you have a problem that could be solved by predicting an outcome or automating a decision based on past information, it's probably worth exploring.
Do you only work with companies in Fresno, California?
No, I work with businesses across the U.S. My base is in Florida, but with today's technology, I can effectively serve clients like yours in Fresno and elsewhere remotely. It just helps to speak your local language, so to speak.
What does the first 2 weeks of an engagement look like?
The first couple of weeks are all about understanding your needs. We'll have an initial discovery call, and if it's a good fit, I'll prepare a detailed project proposal outlining the scope, deliverables, and fixed fee. We'll nail down exactly what we're going to build together.
Do I need to be a technical expert to work with you?
Absolutely not. My job is to translate complex technical concepts into understandable business terms. You just need to know your business well and be able to explain the problems you're facing. I'll handle the technical heavy lifting.
What kind of data do you usually need for a project?
It really depends on the project. Generally, I'd need access to historical data relevant to the problem we're trying to solve. This could be sales records, customer interaction logs, operational metrics, or even text data. We'll discuss specifics in our initial calls.