Okay so, a lot of places out there will hit you with big, fancy words about AI and data science. But for a business here in Louisville, what you really need is someone who can take your messy data, build something useful, and explain it all without making your eyes glaze over. That’s what I do. I’m not gonna promise the moon, but I promise clear communication and a focus on delivering actual working solutions, usually aimed at saving you time or making you more money.
I’ve worked with businesses from all sorts of industries, from manufacturing to service providers. The common thread? They all had data sitting around, maybe in spreadsheets, maybe in some database, and they knew there was more to it than what they were getting. I’m here to help you tap into that potential, to turn those numbers into actionable insights or even automate some of those repetitive, soul-crushing tasks.
## What I actually do for Louisville clients
Mostly, I build models. Think predictive analytics: figuring out which customers are likely to churn next month, or forecasting sales with better accuracy. Sometimes it’s about automation – using data to streamline a process that currently takes a human way too long. I’m talking about things like automatically categorizing customer feedback, optimizing inventory levels based on past demand, or identifying patterns in operational data that point to inefficiencies.
I don’t just hand you a black box either. My goal is always to deliver a solution that you and your team can actually understand and use. That often means setting up a pilot project, building a specific machine learning model, or creating a data dashboard that gives you a clear picture of what’s going on. It’s about taking those abstract concepts and making them concrete and useful for your Louisville operations.
## How a Louisville engagement usually goes
1. **Discovery Call (Week 1):** We start with a free 20-minute chat. You tell me what you're trying to achieve, what kind of data you have, and what’s bugging you. I’ll ask some questions, and we'll figure out if there's a good fit. No pressure, just a straightforward conversation to see if I can help your Louisville business. 2. **Project Definition & Proposal (Week 2):** If it looks like a good fit, I'll put together a detailed proposal. This will outline the scope of work, what I'll deliver, the timeline, and the cost. I’ll make sure it’s specific enough so you know exactly what you’re getting, and what problems we're aiming to solve. 3. **Data Collection & Model Building (Weeks 3-8, depending):** Once we agree, I'll dig into your data. This is where I clean it up, explore it, and start building the machine learning models. I'll check in regularly, showing you progress and getting your feedback to make sure we’re on the right track. This phase is usually the longest, as getting the data right is key. 4. **Deployment & Handoff (Weeks 9-12, depending):** After the model is built and tested, I'll help you get it integrated into your existing systems, or provide clear instructions on how to use it. I'll also explain how it works, what its limitations are, and what you need to know to keep it running smoothly. My aim is always to leave you with a useful tool, not just a report.
## What it costs, roughly
Look, every project is different, so it's tough to give exact numbers without knowing more. But to give you a ballpark, most of my projects fall into a fixed-fee range, typically starting around $7,000 for smaller, well-defined pilots and going up from there for more complex work. I prefer fixed fees so you know what you’re paying upfront, no surprises. I’m not a fan of endless hourly billing, honestly. I'll always be transparent about the investment, and it'll be clearly laid out in the proposal.
## Who I'm usually NOT a fit for
I’m pretty upfront about who I can help and who I can’t. If you’re a Fortune 500 company looking for a massive, multi-year digital transformation with a huge team, I'm probably not your guy. My strength is working with small to medium-sized businesses in places like Louisville, where I can make a direct, tangible impact without a lot of corporate red tape. Also, if you don't have *any* data to work with yet, or your data is completely inaccessible, we might need to get that sorted first before machine learning can really help. I can advise on data strategy, but I can't conjure data out of thin air.
## Getting in touch
If you’re a Louisville business owner wondering if machine learning or data science could actually make a difference for you, let’s just talk. No high-pressure sales, no jargon. Just a real conversation to see if what I do aligns with what you need. Click the button on this page to book a 20-min call. I'm looking forward to hearing about your business here in Louisville, Kentucky.
FAQs — Louisville
How do I know if Machine Learning is worth it for my Louisville business?
If you have data from your operations, sales, or customers, and you're making decisions based on 'gut feelings' or spending a lot of time on repetitive analysis, it's very likely machine learning can help. We can explore potential benefits during our initial chat.
Do you work with companies outside of Louisville?
Yes, absolutely! While I love working with local Louisville businesses, I consult with clients across the U.S. My processes are designed to work effectively remotely, ensuring clear communication and successful project delivery no matter where you are.
What does the first 2 weeks of an engagement look like?
The first two weeks involve a discovery call to understand your needs, followed by me creating a detailed project proposal outlining the scope, deliverables, timeline, and fixed cost. This ensures we're both on the same page before any work begins.
What kind of data do I need to get started?
The more data the better, but even a few years of sales figures, customer demographics, or operational metrics can be a good starting point. The key is that the data needs to be accessible, even if it's currently a bit messy in spreadsheets.
Can you integrate the solutions into my existing systems?
Yes, that's often part of the process. I aim to deliver solutions that can either be directly integrated or provide clear instructions for your team to implement. The goal is for the machine learning model to be a useful tool, not a standalone curiosity.