Okay so, you're probably wondering what makes this different. Most 'AI consultants' are big firms, or they're kinda vague about what they actually do. I'm just one guy, and I'm pretty upfront about how I work. No fluff, no buzzwords — just practical applications of machine learning and data science to help your Detroit business operate a little smarter, a little faster.
I get it, the whole 'AI thing' can seem pretty abstract. But for me, it's about looking at your data, understanding a specific problem you're facing, and then figuring out if a statistical model or some clever automation can actually make things better. Whether you're in manufacturing, retail, or a local service business here in Detroit, there's usually some hidden opportunity in your data.
## What I actually do for Detroit clients
When I say 'machine learning and data science,' I'm talking about things like predicting customer churn, optimizing inventory levels, spotting anomalies in your operational data, or automating repetitive data analysis tasks. I don't just hand you a report and walk away; I build actual working models and help you integrate them into your existing processes. Think of me as a fractional data scientist who helps you get from 'we have data' to 'we're making decisions based on data.'
For a Detroit client, that might mean building a predictive model to forecast demand for a specific product line, helping you understand which marketing channels are truly driving sales, or even setting up a system to automatically categorize customer feedback. I focus on pilot projects that can show a clear return on investment, so you're not just investing in 'AI' for the sake of it, but for a tangible business benefit.
## How a Detroit engagement usually goes
Here's a rough idea of what to expect when you work with me:
1. **Discovery & Scoping (1-2 Weeks):** We'll kick things off with a few calls to really dig into your business, your data, and the specific problem you're trying to solve. I'll ask a lot of questions. By the end, we'll have a clear, written scope for a pilot project, outlining what success looks like and what I'll deliver. 2. **Data Acquisition & Preparation (2-4 Weeks):** This is where I get my hands dirty with your data. We'll figure out how to securely access it, clean it up, and get it into a format suitable for analysis. This step can sometimes take a bit, depending on how your data's currently organized, but it's crucial for good results. 3. **Model Development & Iteration (4-8 Weeks):** I'll build and test the machine learning models. This is an iterative process; I'll share progress, get your feedback, and make adjustments. My goal is to develop something that's not just accurate but also practical for your day-to-day operations in Detroit. 4. **Deployment & Handoff (1-2 Weeks):** Once we have a working model, I'll help you get it integrated into your systems. This might be automating reports, setting up an API endpoint, or providing clear instructions for your team to use the new insights. I'll make sure you understand how it works and how to maintain it.
## What it costs, roughly
I usually work on a fixed-fee basis for specific projects. This avoids any surprises and keeps us both focused on the agreed-upon deliverables. For a typical pilot project, you're usually looking at an investment somewhere in the low to mid five-figure range. The exact cost depends heavily on the complexity of the problem, the state of your data, and the scope we define. I'm not the cheapest option, but I aim to provide clear value for every dollar spent.
## Who I'm usually NOT a fit for
I'm not a good fit if you're looking for a giant consulting firm with dozens of people to staff your project. I'm also not the right choice if you don't have *any* data to work with, or if you're just looking for someone to tell you that AI is cool without a clear business problem in mind. If you need someone to manage a team of internal data scientists, that's also not me. I focus on getting a specific job done, usually for businesses that need a practical solution without the overhead of a large company.
## Getting in touch
If you're a Detroit business owner or manager with a specific problem you think data or machine learning might help with, I'd genuinely like to hear from you. No pressure, just a straightforward chat about your needs. Let's see if there's a good fit. You can book a 20-min call directly on my website.
FAQs — Detroit
How do I know if machine learning is worth it for my Detroit business?
Usually, if you have a recurring business problem that involves a lot of data, and you're making decisions based on 'gut feeling' or manual analysis, there's a good chance machine learning could provide value. We can explore that during our initial chat.
Do you work with companies outside Detroit?
Absolutely. While I highlight Detroit to connect with local businesses, my services are available to companies across Michigan and throughout the US. The initial discovery and project work can all be done remotely.
What does the first 2 weeks look like when working with you?
The first couple of weeks are all about understanding your business deeply. We'll have several conversations, I'll ask for access to relevant data (securely, of course), and we'll collaboratively define the specific problem to solve and the expected outcomes for the project.
I have some data, but it's a mess. Can you still help?
That's pretty common, honestly. Data cleaning and preparation is a significant part of almost every data science project. I'm experienced in handling messy data, and we'll factor that effort into the project scope and timeline.
What kind of commitment do I need to make on my end?
Your main commitment will be providing access to relevant data and making key stakeholders available for discussions and feedback, especially during the discovery and iteration phases. Timely communication helps keep the project on track.