Okay so, you're looking for help with machine learning or data science. Maybe you've got a mountain of data you don't know what to do with, or a process that just feels… manual. You've heard all the buzzwords, but what you really need is someone to cut through the noise and deliver something tangible. That's what I aim to do. I don't pretend to be some guru who'll instantly make you a billion dollars. I help you build practical, working solutions that actually move the needle for your business in Kansas City.
I get it, it can be kinda daunting. There's a lot of hype out there, and it's hard to tell what's real and what's just marketing fluff. My approach is to be straightforward. I'll tell you what's possible, what's not, and roughly what it's gonna take. No fancy jargon, just plain talk about how to get your data to work for you. Whether you're in the Crossroads or out in Overland Park, if you're a Kansas City business owner, I'm here to help you get unstuck.
## What I actually do for Kansas City clients
Most of my work for businesses in Kansas City falls into a few buckets. Often, it's about building a pilot project – something small and focused that proves out a concept. Say you've got a ton of customer feedback, and you want to automatically categorize it. I can build a custom machine learning model for that. Or maybe you're spending hours every week manually reviewing documents; I can set up an automation using data science principles to do that heavy lifting for you. The goal is always to get something working that you can see and feel.
Other times, it's about taking an existing idea and making it a reality. You might have a hunch that certain data points predict customer churn, for example. I'll help you collect, clean, and analyze that data, then build a predictive model. It's not just about running algorithms; it's about understanding your business problem first, and then figuring out how data and machine learning can actually solve it. I focus on delivering functional tools, not just reports.
## How a Kansas City engagement usually goes
1. **Initial Chat (1-2 days):** You and I hop on a quick 20-minute call. No sales pitch, just a chat about what you're trying to achieve, what data you might have, and if I think I can genuinely help. If it sounds like a fit, we move to step two. 2. **Deep Dive & Proposal (1-2 weeks):** We'll schedule a more in-depth session, maybe an hour or two. You walk me through your data, your current processes, and your goals. I'll ask a lot of questions. Then, I put together a detailed proposal outlining the project scope, the specific deliverables, the timeline (usually 4-12 weeks for a pilot), and a fixed-fee cost. 3. **Project Execution (4-12 weeks):** Once we agree, I get to work. This is where I build the models, write the code, and develop the solution. I'll keep you updated regularly, typically with weekly check-ins, showing you progress and getting your feedback. It's a collaborative process, even though I'm doing the heavy lifting. 4. **Delivery & Handoff (1 week):** I deliver the working solution. This usually includes the code, documentation, and a session where I walk you and your team through how to use it. If it's a model, I'll explain how to interpret its outputs. The goal is for you to be able to use what I've built independently.
## What it costs, roughly
I know pricing is a big deal, and I try to be as transparent as possible. Because I operate with fixed-fee pricing for defined projects, you'll know the total cost upfront. For a typical pilot project or a focused data science engagement, you're usually looking at a range starting from a mid-five-figure number and going up from there, depending on complexity and duration. There are no hidden fees or surprise hourly invoices. My proposals lay it all out so you can budget accordingly. It's a good investment if you're serious about using data to improve your business.
## Who I'm usually NOT a fit for
I'm pretty upfront about this. If you're a huge corporation looking for a team of 50 consultants, I'm not your guy. I'm also not the right fit if you're just looking for someone to run a few reports without a clear business problem to solve. I don't do data entry, and I'm not a general IT support person. I specialize in focused machine learning and data science projects that have a measurable impact. If you don't have *any* data to work with, or aren't willing to invest the time to define the problem clearly, it's probably not going to be a good fit.
## Getting in touch
If you're a Kansas City business owner, and you've read all this and think it sounds like what you need, let's talk. The easiest way to figure out if I can help is to just have a quick conversation. No pressure, no obligations. Just click the link below to book a 20-min call.
FAQs — Kansas City
How do I know if AI is worth it for my Kansas City business?
The best way to tell is if you have a repetitive process, a lot of data, or a specific question you need answered from that data. If you're spending hours on manual tasks that feel like they could be automated, or if you're making decisions without clear data, it's probably worth exploring.
Do you work with companies outside Kansas City?
Yes, I work with businesses across the United States. While this page is for my Kansas City clients, my consulting is done remotely, so I can assist you wherever you're located.
What does the first 2 weeks look like?
The first 2 weeks typically involve our initial chat to see if there's a good fit, followed by a more detailed deep-dive session where you explain your needs and I gather information. After that, I'll provide you with a detailed project proposal.
What kind of data do I need to have?
You'll need data that's relevant to the problem you're trying to solve. This could be anything from customer transaction logs, website analytics, internal operational data, or text documents. The cleaner and more structured your data, the faster we can get to a solution.
Can you integrate with my existing systems in Kansas City?
Yes, I can design solutions that integrate with your current systems where feasible. We'll discuss your existing technology stack during the deep-dive phase to ensure any solution is compatible and can be implemented smoothly into your operations.