Machine Learning & Data Science · St. Louis, MO

Machine Learning & Data Science Consulting in St. Louis

Book a 20-min call What I actually do

You're probably clicking through a bunch of these city pages, aren't you? It's okay, I do it too. Most of them read like they were written by a robot, for robots. Here in St. Louis, you've got businesses with real problems, and you need real answers, not marketing fluff. So, let's skip the jargon and get straight to it: what can I actually do for you when it comes to Machine Learning and Data Science?

I'm not gonna pretend I'm some giant corporation with an army of data scientists. It's just me. But what I lack in sheer numbers, I make up for in practical, honest advice and getting things done. I've seen a lot of data, and I've built a good number of models. If you're looking for someone who can actually explain what's happening under the hood, and deliver something that works, you're in the right place.

## What I actually do for St. Louis clients

Okay so, most of my projects for St. Louis businesses fall into a few buckets. Sometimes it's about taking a big messy dataset and finding patterns in it that your human eyes just can't catch – predicting customer churn, identifying fraud anomalies, or figuring out which marketing campaigns actually resonate. Other times, it's about building a small, focused machine learning model. Think something that automates a decision-making process, like optimizing inventory levels or routing service calls more efficiently. It's usually about taking something that's slow or error-prone and making it faster and more consistent.

I often start with a pilot project. It's a way for us to test the waters, make sure the data's actually useful, and see if the proposed solution will genuinely move the needle for your business. I'm not interested in building something just for the sake of it. My goal is to deliver something that provides a clear return on investment, something that genuinely helps your St. Louis operation run smoother or make smarter decisions.

## How a St. Louis engagement usually goes

1. **Initial Chat (1-2 weeks):** We'll hop on a quick 20-minute call to see if I can even help. If it looks promising, I'll ask for some more details about your business problem and the data you have. I'll then put together a proposal outlining what I think we can achieve and how. No obligation, no pushy sales tactics. Just an honest assessment. 2. **Deep Dive & Data Prep (3-5 weeks):** If you decide to go ahead, this is where I really get into your data. I'll need access to it, of course, and we'll have regular check-ins. This stage is crucial for cleaning the data and getting it into a usable format for machine learning. This is often the most time-consuming part, but it's essential for good results. 3. **Model Building & Testing (4-8 weeks):** Once the data is ready, I'll start building and testing models. This is where the actual 'machine learning' happens. I'll be looking for the best performing model for your specific problem, and I'll explain what it's doing and why. We'll iterate on this, making sure it meets your expectations. 4. **Deployment & Handover (2-4 weeks):** After we've got a model that works, I'll help you get it set up and running in your environment. This could be anything from providing the model code for your IT team to integrate, or helping you connect it to an existing system. I'll also make sure you understand how it works and how to maintain it going forward. I won't just drop it on you and disappear.

## What it costs, roughly

Pricing for Machine Learning and Data Science projects really varies, depends on the complexity of your data, the problem you're trying to solve, and the amount of integration work needed. I usually work on a fixed-fee basis for defined projects, so you'll know the cost upfront, no surprises. For a typical pilot project, you're usually looking at something in the mid-five figures. Full-scale deployments can, of course, be more. I'm always upfront about my fees and what they cover. I'm not the cheapest option, but I aim to provide real value for your investment.

## Who I'm usually NOT a fit for

I'm probably not the right fit if you're looking for a massive, multi-year strategic AI overhaul across your entire organization. I'm also not suited for businesses that have no data whatsoever – I need something to work with! And if you're expecting instant, magical results without any effort or investment on your part, then I'd recommend looking elsewhere. My clients are usually established St. Louis small-to-medium businesses who are serious about using their data to solve specific, tangible problems and are willing to collaborate closely with me to achieve that.

## Getting in touch

If you've read all this and think I might be able to help your St. Louis business, the next step is pretty simple. Drop me an email or, even better, book a 20-min call. We can chat about what you're trying to do, and I can give you an honest opinion on whether I'm the right person for the job. No pressure, just a conversation.

FAQs — St. Louis

How do I know if Machine Learning is worth it for my St. Louis business?

The best way to figure this out is to identify a specific, repeatable task or decision in your business that currently takes a lot of manual effort or is prone to human error, and that generates a good amount of data. If you have that, there's a good chance Machine Learning could help.

Do you work with companies outside St. Louis, Missouri?

Yes, absolutely. While I emphasize my local connection for search purposes, A.I. Consulting LLC is based out of Florida, and I work with clients all across the United States. Modern communication tools make remote collaboration very effective.

What does the first 2 weeks of an engagement typically look like?

The first couple of weeks after we agree to work together are usually focused on getting me access to your data and having detailed conversations about its structure and any quirks. This is critical for me to understand what I'm working with and start the data cleaning process.

I have data, but it's a mess. Can you still help?

Having messy data is incredibly common, honestly. Data cleaning and preparation is a significant part of almost every project I undertake. So yes, I can definitely help, though it might take a bit more time in the initial stages.

Will I own the Machine Learning models you build?

Yes, once the project is complete and payment is made, you will own all the custom models and code I develop specifically for your business. My goal is to provide you with a solution you can use and maintain.

Want to see if we're a fit?

20 minutes, no deck. If I can't help I'll point you at someone who can.

Book a 20-min call